Stars
🤗 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.
Models and examples built with TensorFlow
TensorFlow code and pre-trained models for BERT
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
End-to-End Object Detection with Transformers
StyleGAN - Official TensorFlow Implementation
Python package built to ease deep learning on graph, on top of existing DL frameworks.
StyleGAN2 - Official TensorFlow Implementation
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
TensorFlow-based neural network library
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
A faster pytorch implementation of faster r-cnn
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
StarGAN - Official PyTorch Implementation (CVPR 2018)
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Denoising Diffusion Probabilistic Models
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A tool for extracting plain text from Wikipedia dumps
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
Tensorflow Faster RCNN for Object Detection