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
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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
A faster pytorch implementation of faster r-cnn
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)
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
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
A procedural Blender pipeline for photorealistic training image generation
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).