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My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Train transformer language models with reinforcement learning.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
YaRN: Efficient Context Window Extension of Large Language Models
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Quick semantic search using Siamese-BERT encodings
PyTorch implementation of BERT in "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Google AI 2018 BERT pytorch implementation
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Transformer seq2seq model, program that can build a language translator from parallel corpus
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A simple Python module for parsing human names into their individual components
A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Concept Modeling: Topic Modeling on Images and Text
CCF BDCI 2019 互联网新闻情感分析 复赛top8 代码