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Pytorch implementation of convolutional neural network visualization techniques
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A faster pytorch implementation of faster r-cnn
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Google AI 2018 BERT pytorch implementation
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
TensorFlow Neural Machine Translation Tutorial
A natural language modeling framework based on PyTorch
XLNet: Generalized Autoregressive Pretraining for Language Understanding
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
A general-purpose encoder-decoder framework for Tensorflow
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Count the MACs / FLOPs of your PyTorch model.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A PyTorch native platform for training generative AI models
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reading Wikipedia to Answer Open-Domain Questions
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Sequence modeling benchmarks and temporal convolutional networks