Pytorch is a powerful and versatile open-source deep learning library that emphasizes maximum flexibility and dynamic graphs. It allows developers to build complex neural network architectures, and implement state-of-the-art algorithms such as natural language processing (NLP) and computer vision. In addition, it can be used to train and deploy deep learning models such as recognition systems, recommendations, speech processing, time series forecasting and more. A Pytorch Expert can design custom models, optimize performance and deploy production-level applications.

Here’s some projects that our Pytorch Experts made real:

  • Video emotion detection
  • Convolutional LSTM Autoencoders
  • Neural Network mathematical function autograd
  • Computer Vision projects with YOLO, OpenCV and PyTorch
  • 3D reconstruction
  • Deep Fake video face swap web apps
  • Compressing Neural Networks with Pruning and Quantization
  • C++ inference for YOLOv7 with OpenCV
  • Basic neural network Python code check

The Pytorch ecosystem of libraries provides the resources to prototype, optimize, debug and deploy applications quickly. Through our team of experienced Pytorch specialists, Freelancer is equipped to help you build production ready software across a wide range of problem domains. With a combination of world class expertise and user friendly support, you can be up and running with your custom application in no time. So why wait? Post your project now and hire the perfect Pytorch Expert on Freelancer.com.

12,863レビューから、クライアントは Pytorch Experts 4.82/5個の星で評価します。
Pytorch Experts を採用する

Pytorch is a powerful and versatile open-source deep learning library that emphasizes maximum flexibility and dynamic graphs. It allows developers to build complex neural network architectures, and implement state-of-the-art algorithms such as natural language processing (NLP) and computer vision. In addition, it can be used to train and deploy deep learning models such as recognition systems, recommendations, speech processing, time series forecasting and more. A Pytorch Expert can design custom models, optimize performance and deploy production-level applications.

Here’s some projects that our Pytorch Experts made real:

  • Video emotion detection
  • Convolutional LSTM Autoencoders
  • Neural Network mathematical function autograd
  • Computer Vision projects with YOLO, OpenCV and PyTorch
  • 3D reconstruction
  • Deep Fake video face swap web apps
  • Compressing Neural Networks with Pruning and Quantization
  • C++ inference for YOLOv7 with OpenCV
  • Basic neural network Python code check

The Pytorch ecosystem of libraries provides the resources to prototype, optimize, debug and deploy applications quickly. Through our team of experienced Pytorch specialists, Freelancer is equipped to help you build production ready software across a wide range of problem domains. With a combination of world class expertise and user friendly support, you can be up and running with your custom application in no time. So why wait? Post your project now and hire the perfect Pytorch Expert on Freelancer.com.

12,863レビューから、クライアントは Pytorch Experts 4.82/5個の星で評価します。
Pytorch Experts を採用する

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    LLM Configuration and Training Specialist (Llama 3) We are looking for a Machine Learning specialist with experience in large language models (LLM), specifically Llama 3.1. The objective is to configure a training environment (on-premise or in the cloud), for training a specific model for analyzing responses to a sociological survey, fine tuning the model must be carried out and an evaluation pipeline must be designed. The objective is to collaborate with a research team to train a unique and specialized survey data analysis model. Main responsibilities: Configure and maintain training infrastructure (PyTorch, Python, GPU, etc.). Collaborate in the selection and cleaning of data. Adjust the Llama 3 model to respond to specific sociology prompts. Monitor and evaluate the quality of r...

    $1128 Average bid
    $1128 平均入札額
    87 入札

    I'm seeking a high-level Deep Learning Engineer to help classify CIFAR100 images. The ultimate goal is a strong position on the Kaggle leaderboard. Key project requirements: - Model Optimization: The model should prioritize achieving the highest accuracy while minimizing parameters and FLOPs. This requires a deep understanding of model complexity and performance trade-offs. - Advanced Data Augmentation Techniques: The use of advanced data augmentation techniques is crucial. Specifically, I want to utilize methods like Cutout or Mixup to enhance the model's robustness and generalization capabilities. - Convolutional Neural Network (CNN): The model should be based on a Convolutional Neural Network (CNN). Therefore, deep expertise in designing, implementing, and fine-tuning CNNs is...

    $77 Average bid
    $77 平均入札額
    24 入札

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