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    1,027 pytorch jobs fundet, i prisklassen EUR

    Need 2 simple pages shown in the picture attached

    €498 (Avg Bid)
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    26 bud
    YOLOv7 object recognition 6 dage left
    VERIFICERET

    1. Required skills: - Basic knowledge of statistics and probability theory. - Certain knowledge of the methodology of neural networks and elementary architectures, such as dense neural networks and convolutional neural networks (CNN = convolutional neural network). - Knowledge of frameworks for manipulation of neural networks: for example, PyTorch or TensorFlow. 2. Data format. Thermal imaging camera. Camera is connected via USB to the Jetson Nano (Ubuntu): - input image size 256 x 192 pixels; - each pixel is coded with one number - intensity within [0, 1]. For training, it is better to take an already trained neural network, add layers for resizing the image (at the beginning), and modeling the desired output (at the end). Preparation of a training sample for training. Here ar...

    €1045 (Avg Bid)
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    43 bud

    i need the Machine Learning (ML) and Pytorch expert for multiple jobs.

    €6 - €19
    Forseglet
    €6 - €19
    16 bud

    I need to complete my project on PyTorch framework

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    We want to start a new project at our university. We need programmers who can advise us on our project. DARTS Time Series Made Easy in Python PyPI version Conda Version Supported versions Docker Image Version (latest by date) GitHub Release Date GitHub Workflow Status Downloads Downloads codecov Code style: black Join the chat at darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and...

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    Being given the GFPGAN model, I want to speed up the inference by training the model for 25x256 images. (currently it is for 512x512) I will provide access to AWS EC2(with GPU) instance for training. Python/ML/PyTorch gurus are welcome to apply for this job.

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    ...be downloaded from: Figure 1. Examples of the images and labels More details of the dataset can be found at: For the project, the data set should be partitioned into training (500 images), validation (100 images), and test (100 images) for each category. (1) Fisher Vector aggregation of conv features [40pts], Use pre-trained VGG16 network [] to compute pool 5 features, scaling the input from 256x256 to 224x224, this feature will be 512 x (7x7) in dimension. Compute the PCA and GMM of this 49 dimensional conv feature by randomly sampling 50 images from all 45 classes, for kd=[16, 24] and nc =[64, 128], compute FV aggregations (total 4 sizes), and benchmark the accuracy and show the 45-class

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    design model in pythorch python

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    9 bud
    App Development Udløbet left

    I need to import Pytorch model into an iOS/android app and app development.

    €223 (Avg Bid)
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    18 bud

    The goal of this project is to setup a NLP Pipeline in Python that takes our training data (examples of Input and Output texts), transforms it and train the generative model GPT-Neo. In the end the model should be easily swapped out with other generative models as GPT-Neox, GPT-J, Bloom. You must not use high-level libraries like HappyTransformers etc., instead you should use PyTorch and Huggingface (and other important libraries) to build the project. Your code should be well structured and the hyperparameters should be easy to adjust. You have to document each step to reproduce the exact same result. Furthermore, you should be able to give us advice how we should best proceed with enhancing the model you created.

    €452 (Avg Bid)
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    34 bud
    Deep learning Udløbet left

    Need an expert for Pytorch segmentation It Is Required To Implement Deep Learning Models By Pytorch using J Upyter.

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    Need an expert for completing a project using deep learning concepts, jupyter.

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    Need an expert who knows about and can Implement Deep Learning Models By Pytorch For The Dataset.

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    We are looking for a Data Scientist/ Machine Learning Developer from LATAM or US region. The skills candidates should have: Experience using PyTorch, , and relationships with top researchers in the field of Geospatial ML (people at Microsoft, Facebook, etc.) Please send a proposal if you are interested. Our team is excited to have you on board.

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    ...TASK ---------------------------------- - All learning should be done on my deep learning server (server specs are below). I prefer you use MobileNet V2 or V3 along with Caffe. My server's Caffe + MobileNet ver.1 installation is fully functional but I got "out-of-memory" errors when attempting it with ver.2 (but note: I'm far from expert in DL). If you cannot use Caffe then you need to install Pytorch and train with Mobilenet V2 or V3. But in that case generated model should be converted to *.caffemodel and provide me instructions/scripts how to do the conversion. If you can't use MobileNet SSD ver.>1 or you can't use my server at all then I need to reconsider for which price should I continue the project. MY Ubuntu 20.04 LTS SERVER DETAILS: ----...

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    I want to convert this model to mlmodel, or similar model. It's to remove object from photo on the iOS app. input param: source image, mask image output param: inpainted image converted file size should be small as much as possible. Only bid if you already done

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    I want to convert this model to mlmodel, or similar model. It's to remove object from photo on the iOS app. input param: source image, mask image output param: inpainted image converted file size should be small as much as possible. Only bid if you already done

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    Bachelor's degree in Computer Science, Computer Engineering, AI or related fields 5+ years of experience with architecture, design and implementation of AI/ML technologies Technical depth in shaping and designing AI/ML architectures and infrastructure Familiar with Cloud Infrastructures, Kubernetes, Docker, GPU, TensorFlow, Pytorch & other Opensource AI/ML framework and libraries Experience with Programming languages (Python, Java, etc) and database (SQL & NoSQL) Strong stakeholder management skills with ability to distil information and communicate directly with stakeholders. Experience working in a fast-paced, results-oriented team. Experience working in Media & Entertainment industry is a strong plus

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    Hello I need to implment hyperparameter tuning on Pytorcch for image classificcation. Resnet 18 and Vgg16 will be used. I need someone who knows hyperparameter tuning with Pytorh for transfer learbing models

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    Pytorch expert Udløbet left

    I need to have a code checked. Aim of the code is to build a mathmatical function, to train a nn and to customize loss functions. Before showing the project, I need to discuss with the expert

    €148 (Avg Bid)
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    Hello there Need a small python development project to be developed with pytorch . Please apply asap if you can start it after hiring as it is coding development project that ha data set availabe. Thanks

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    1. Required skills: - Basic knowledge of statistics and probability theory. - Certain knowledge of the methodology of neural networks and elementary architectures, such as dense neural networks and convolutional neural networks (CNN = convolutional neural network). - Knowledge of frameworks for manipulation of neural networks: for example, PyTorch or TensorFlow. 2. Data format. It is important to fix the data format for the entire learning process. Neural networks lack flexibility in this regard, and the widely used resizing of the image (so-called re-scaling) can distort it and significantly reduce the probability of identifying a small object that occupies only a few (dozens) of pixels. Example: - input image size M x N pixels; - each pixel is coded with one number - intensity w...

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    45 bud

    I want a simple code that can diagnose the given covid cough dataset using python/Pytorch simple as in it reads the auc of the audio thank you.

    €164 (Avg Bid)
    Fremhævet
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    36 bud

    I would to have a pytorch algorithm, trained on data from , that will determine the probability of the winner of a chess match based on the username, user game history (if applicable) Elo rating, state of the board, and time remaining in the chess match.

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    You need to have knowledge of python, pytorch.

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    23 bud

    ...communities, schools & business executive headshots. We are looking for some automated portrait enhancement along with a background removal solution. In addition to the removal of background, some of the additional enhancements we are looking are Remove stray hairs Remove shades on the faces We encourage more enhancements but can be optional Currently, we do have some python-based AI algorithm (PyTorch & open cv based) that does the background removal with 80-90% success. We are looking for a solution that is more accurate and faster 10-20 (minimum) photos per minute with source code for future extendibility. Photos are high quality (1024X 1024) or above. Quality is more important. Runtime would be linux, python 3*. Expected By : Dec 15 Would like to see your ...

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    ...ion task is not allowed. 2. Do a search to find quality papers. You can search on google scholars,, IEEEXplore (://). Top conferences include NeurIPS, CVPR, ECCV, ICCV, ICML. 3. Once you find candidate papers, do a literature survey (read the abstract, intro, and results) to pick the one that you can work, Find online PyTorch code. 4. Read the dataset part carefully. Look into their code and dataset to find how the data needed to be formatted. 5. You need to build your own dataset. Select the source that you will be using and provide few samples as examples in the proposal. Mention if you will be using any tools for annotation. The source should be something that possibly have not been used before for building dataset

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    26 bud

    We are looking for software developers who can create software developer training content for technical skills like Kafka, Kubernete, Pytorch, Scala, Snowflake, Ruby, MongoDB, PowerBI and many more. Please apply for this project if you can speak good English and explain well in a video format We plan to develop a lot of content. The compensation will be $15 - $25 per hour based on your experience. Once you apply to this project, we will review your profile and decide if we wish to move ahead.

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    gpu pytorch Udløbet left

    pytorch gpu deep learning. Let me

    €29 / hr (Avg Bid)
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    29 bud

    Updating the code, implementing the quantization and project is based on Deep Neural Networks

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    16 bud

    SAMPLE DATA =========== Model (YOLOX): (and ) -> Test image: (see uploaded files here) Analysis done with YOLOv7: !python --weights --img-size 1344 --source ... --save-txt Results (see uploaded files here): as text: image: TASK ==== Inference with C++ ------------------ Remark: Only use OpenCV via vcpkg, no other libraries are allowed. (You can ask if you want to use another library.) 1) Setup a concole C++ Visual Studio 2022 project (or Embarcadero C++ Builder 11 project). No cmake! 2) Use *.onnx trained model from above 3) Calculate images from above with CPU, show results (rectangles around objects found), save results as tab-delimited text file 4) Results have to be equal to results above (5) Nice to have: Same in python) -> Send source code for C++ project ...

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    Optimize neural network as per supplementary requirements, using Pytorch.

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    Description: - Demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals; - Strong Python skills whilst working with TensorFlow and Keras; - Hands-on experience in implementing Reinforcement Learning; - Experience with developing functioning Deep Q Learning systems; - Strong programming sk...Python skills whilst working with TensorFlow and Keras; - Hands-on experience in implementing Reinforcement Learning; - Experience with developing functioning Deep Q Learning systems; - Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions. Ways to stand out from the crowd: - Experience with Bayesian Networks; - Familiarity with PyTorch or Caffe; - Knowledge of optimization ...

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    Bug with PyTorch training a time series model.

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    Hi. I am having trouble using a deep learning model (transformer model on PyTorch) for my time series prediction task. The code keeps having the error.

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    ...BE DONE FAST, SO IF YOU CANNOT START RIGHT AWAY AND PUT A LOT OF FOCUS THEN YOU NEED NOT APPLY) Method: You will have to create your own dataset (download text from cloud database of your choice) and model in C++. This project is mostly about the SHAP algorithm but needs to be able to be tested locally so the other components need to be produced at least to test it. So I don't care if you use pytorch c++ or what model you use and the details behind that. Whatever gets the job done fastest. Deliverable:I need the functions well documented to run. Probably need something LIKE the following: shap.h: all of the information to instantiate and store, etc... : calls load data function, instantiates c++bert/wordembedding transformers..., trains ANN explain_cpp: instantiates SHAP,...

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    NDA
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    ...FAST, SO IF YOU CANNOT START RIGHT AWAY AND PUT A LOT OF FOCUS THEN YOU NEED NOT APPLY) Method: You will have to create your own dataset (download remote images from cloud database of your choice) and model in C++. This project is mostly about the SHAP algorithm but needs to be able to be tested locally so the other components need to be produced at least to test it. So I don't care if you use pytorch c++ or what model you use and the details behind that. Whatever gets the job done fastest. Deliverable:I need the functions well documented to run. Probably need something LIKE the following: shap.h: all of the information to instantiate and store, etc... : calls load data function, instantiates inception/cnn/..., trains ANN explain_cpp: instantiates SHAP, creates local pre...

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    Forseglet NDA
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    31 bud

    Hi, I'm looking for a deep learning expert to work on an exciting project in deep learning. Must be professional in Pytorch. The project is related to class-incremental learning field. Duration is 2 weeks.

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    First step: We need an AI that is able to detect elephant rumbles from jungle recordings. Additionally: The AI should show it's predictions (time-stamps from a sound file) and we should be able to tell the AI if it is true or not. So we can train the AI further with...run on a solar powered microcontroller (ESP32) as an elephant detector while it is constantly listening in the jungle with a connected microphone. These detectors will be able to spot elephants before they reach a farm or village and warn rangers in that area who can deal with that situation. This will prevent human-elephant-conflict. As far as i know only Tensorflow (With Tesnorflow Lite) or PyTorch (with TinyML)are able to run on a ESP32. Which should be considered. If you have any further questions. Feel fre...

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    I have a very basic neural network coded in Pytorch for a binary classification problem, however I am not getting expected results for training/prediction, although the code itself runs without errors. I would like someone to look at the code and identify the error and how to fix it. The code is short (around 100 lines), of which it is generally quite basic. The freelancer should be familiar with building neural networks in Pytorch for binary classification, including the use of BCEwithlogitsloss function. I would estimate this to take only 30 mins or so to understand the code and identify the problem. I will prioritise people who can start work immediately. I will provide the tensor input file and code when hiring, it is quite basic.

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    We are looking for software developers who can create software developer training content for technical skills like Kafka, Kubernete, Pytorch, Scala, Snowflake, Ruby, MongoDB, PowerBI and many more. Please apply for this project if you can speak good English and explain well in a video format We plan to develop a lot of content. The compensation will be $15 - $25 per hour based on your experience. Once you apply to this project, we will review your profile and decide if we wish to move ahead

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    3 bud
    Run code in spider Udløbet left

    I need to run a project which is yoloyv3 in spider link for project link for some projects using same works

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    A program has to be developed for malware detection using malconv using python on pytorch. Same is for image processing. The data set is provided.

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    There are approximately 1700 “X” pictures and 700 “Y” pictures. The goal is to enter a new picture to the computer, in Python and he will be able to tell us if it is a “X” or “Y” pictures. The desired rate of success for ...program should support both MAC M1 (support for its neural engine) and windows PC. I know I don’t have enough “Y” pictures, but for the sake of work you can train 1500 “X” pics and 500 “Y” pics and then input the remaining 200 of each to the neural network, to test the results (How it handles new pictures) There is a must to use Python language, with known and trusted frameworks: TensorFlow, Pytorch, Keras, Numpy etc. At the end I will get the code, and FULL explanation how...

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    SAMPLE DATA =========== Sample images are in the attached zip under CreatedImages The annotations are given in the text files Suppose data is in Google Drive under '/content/gdrive/MyDrive/SampleObjectDetection02/od01/' So start with an Colab notebook like: from import drive ("/content/gdrive", force_remount=True) dir = '/content/gdrive/MyDrive/SampleObjectDetection02/od01/' %cd {dir} TASKS ===== I) Training in Colab -------------------- Remark: This all has to be done in Colab. (For development you nust ahve a Colab environment on your own!) 1) Prepare data for use in training using a pretrained YOLOX model 2) Train model and show how to set the following training features: - selection of pretrained model (YOLOX-s, YOLOX-x,...) - settings for data aug...

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    Looking for an experienced computer vision engineer to deploy pre-built computer vision models into NVIDIA jetson nano. Must be experienced with Linux-based hardware like Nvidia Jetson Nano. Required Experience: Proficient in Python and OpenCV Deep Learning & NLP Computer Vision Hands-on experience with TensorRT Familiarity with deep learning frameworks like Pytorch, and Tensorflow Experience with Linux-based hardware like Nvidia Jetson Nano Experience working on deploying Computer Vision models on Edge hardware like Jetson nano

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    I have a piece of code that has support for MultiGPU but the code is implemented only for GPU[0] explicitly. I want to you help me change the code such that all 4 GPUs are used.

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    I have texts consisting of more words than 10000. and I have another texts consisting of 15 words. I want to get most similar words in between two texts and follow my entity. and, I want to implement this android app. If you are confidence in tensorflow and NLP, please bid. Thanks.

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    Hello, i have a project in order to detect objects in live camera and save images and video of the events. They working in python with anaconda pytorch torchvision right now. We want to upgrade the algorithm in YOLO so we want a expert to do this. All the work need to make remote with ssh. I can do the training of the yolo (under your instructions) so you not have lost time for training etc.

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    NDA
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    Atari Game AI Pong model expansion using Pytorch SB3

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