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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

TensorFlow code and pre-trained models for BERT

Let us control diffusion models!

A high-throughput and memory-efficient inference and serving engine for LLMs

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch implementations of Generative Adversarial Networks.

Image augmentation for machine learning experiments.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

A PyTorch implementation of the Transformer model in "Attention is All You Need".

A PyTorch implementation of EfficientNet

A faster pytorch implementation of faster r-cnn

fast-stable-diffusion + DreamBooth

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Google AI 2018 BERT pytorch implementation

a state-of-the-art-level open visual language model | 多模态预训练模型

A PyTorch Implementation of Single Shot MultiBox Detector

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

3D ResNets for Action Recognition (CVPR 2018)