ahkarami / Deep-Learning-in-ProductionLinks
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
☆4,380Updated last year
Alternatives and similar repositories for Deep-Learning-in-Production
Users that are interested in Deep-Learning-in-Production are comparing it to the libraries listed below
Sorting:
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,599Updated 7 months ago
- PyTorch tutorials and best practices.☆1,710Updated 10 months ago
- An unofficial styleguide and best practices summary for PyTorch☆2,008Updated 4 years ago
- Serve, optimize and scale PyTorch models in production☆4,358Updated 5 months ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,463Updated 4 months ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,237Updated 2 years ago
- A collection of computer vision pre-trained models.☆1,360Updated 4 years ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,421Updated 2 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,726Updated this week
- Accelerated deep learning R&D☆3,368Updated 7 months ago
- Lab materials for the Full Stack Deep Learning Course☆1,220Updated 3 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,064Updated last year
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,351Updated last year
- This repository is to prepare for Machine Learning interviews.☆1,617Updated 6 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,987Updated 2 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,878Updated 2 years ago
- Simple examples to introduce PyTorch☆4,863Updated 3 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,663Updated last month
- Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained☆4,548Updated 4 years ago
- Train AI models efficiently on medical images using any framework☆1,876Updated last year
- A curated list of awesome self-supervised methods☆6,361Updated last year
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,524Updated 6 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Updated last month
- Summaries of machine learning papers☆2,505Updated 5 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,860Updated last year
- Full Stack Deep Learning Online Course☆911Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,162Updated last year
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆913Updated 2 years ago
- In-depth tutorials for implementing deep learning models on your own with PyTorch.☆1,563Updated 2 years ago
- Make huge neural nets fit in memory☆2,828Updated 5 years ago