Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
The world's simplest facial recognition api for Python and the command line
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Python packaging and dependency management made easy
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Minimal examples of data structures and algorithms in Python
Image-to-Image Translation in PyTorch
Code for the paper "Language Models are Unsupervised Multitask Learners"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Neural Network Library for PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Open standard for machine learning interoperability
PyTorch implementations of Generative Adversarial Networks.
Datasets, Transforms and Models specific to Computer Vision
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
StyleGAN - Official TensorFlow Implementation
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A paper list of object detection using deep learning.
Style transfer, deep learning, feature transform
StyleGAN2 - Official TensorFlow Implementation