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    1,621 flownet2 pytorch jobs fundet, i prisklassen EUR

    7 to 10yeas AI , ML, machine learning , RESTful, Knowledge Graphs , Graph Analytics , Data Analysis ,data Modelling , NLP , NLU , Text Analytics , OpenCV , CNN , LSTM Deep knowledge of math, probability, statistics and algorithms Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) mostly (Deep learning and ocr and django )

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    43 bud

    Explore the project *Tasks* 1 - Create API Rest to remotelly render videos 2 - Create a simple web frontend UI to use it 3 - Prototype web deploy

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    I want to find someone who can support us with setting up a computer vision system,

    €11 / hr (Avg Bid)
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    26 bud
    YOLOX pruning Udløbet left

    Hello. We are using a YOLOX (medium size) model in our product. The model is trained with our dataset and we are looking for a person to prune the model. The model is currently using around 25GFlops per image and we want to lower this to 7GFlops with the lowest possible impact on its accuracy. We are using Pytorch framework and the environment should use python 3.6, pytorch 1.7.1 and torchvision 0.8.2. Best regards.

    €171 (Avg Bid)
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    19 bud

    I created a PyTorch Lightning module that attempts to use transfer learning with a multi-headed version of EfficientNet. However, when calling the module's fit function, I receive a RuntimeError about a variable needed for gradient computation being modified by an inplace operation. I do not see where such an inplace operation occurs. I would like help identifying where this error occurs, so I can resolve it and ensure the model can train. I can provide more details and the notebook as needed.

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    We are looking for freelance computer vision developers with at least 2 years of experience in Python, Sklearn, Pandas, OpenCV, PyTorch, TensorFlow, Keras. Notes: 1. Preference will be given to the candidates who wish to spend at least 8hrs / day on a contract basis. Duration of the contract depends on projects 2. Preference will be given for candidates who are in Tiruchirappalli or Chennai or willing to relocate during the project contract period

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    Nvidia Deepstream Udløbet left

    I need someone that from a resnet 50, pre-trained, created with pytorch, export it to onnx, then to engine and create a pipeline with Nvidia deepstream (if possible with Python) that opens a video from a webcam (comes from /dev/video0), paint on the video the detected class and send the video by udp or rtsp to a given port. You will have to give me all the code

    €109 (Avg Bid)
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    5 bud

    Having a (PyTorch) model, I want to do model inference on an Amazon EC2 instance having attached and Amazon Elastic Inference accelerator. Here is the model: Here you will find docs about PyTorch Elastic Inference with Python: The EC2 instance + Elastic Inference accelerator are ready, you can connect via SSH to the instance. *Please only apply if you have already worked with AWS EC2 + Elastic inference and know what I am talking about.

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    devops engineer Udløbet left

    1. Nodes Management Configurable CPU, GPU, Memory, Storage in each node. Show that Data is able to be transferred between nodes 2. GPU sharing Enable GPU plugin for K8S. GPUs can be shared between the nodes in a cluster 3. Out-of-the-box Docker image that has Caffe/Mxnet/Tensorflow/PyTorch, which has CUDA, cuDNN, NCCL enabled. 4. Write a shell script to allow user to a. create tasks that runs in the k8s cluster b. view status of the tasks 5. Install TensorBoard/Visdom/VisualDL/MxBoard or necessary visualization tools 6. show logs of the running nodes

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    i'm looking for help to run this github repo it's running via anaconda. it's not well-explained. I'm looking for a developer who could write me down a tutorial with all the detailed steps.

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    Hello, I need someone who knows one or more of these skills within ML and Data engineering: >Machine learning: - Decision Trees - Gradient Boost Decision Trees - Logistic Regression - Deep Learning - LSTM - Transformers - Python - Keras - Scikit Learn - PyTorch - Jupyter Notebook >Data engineering: - Python - SQL - Cloud services (AWS, GCP, Azure) - Relational database - Jupiter Notebook The project will involve continuous tasks coming from different clients, you must be talented, meticulous and know what you are doing. The data will be prepared by an expert in these fields and he will be available for questions throughout the process. Requirement: 3+ years experince in the mentioned skills.

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    Having a (PyTorch) model, I want to do model inference on an Amazon EC2 instance having attached and Amazon Elastic Inference accelerator. Here is the model: Here you will find docs about PyTorch Elastic Inference with Python: The EC2 instance + Elastic Inference accelerator are ready, you can connect via SSH to the instance. *Please only apply if you have already worked with AWS EC2 + Elastic inference and know what I am talking about.

    €221 (Avg Bid)
    Fremhævet
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    23 bud

    Image caption generation with pytorch Python experience in deep learning You should be available completely to do this project

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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. 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...

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

    €6 - €19
    Forseglet
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    PyTorch frameworks Udløbet left

    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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    design model in pythorch python

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    App Development Udløbet left

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

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    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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    Hi Hamdi H., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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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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    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

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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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    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.

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    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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    ...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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    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

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    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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    28 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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