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为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Open-Sora: Democratizing Efficient Video Production for All
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Datasets, Transforms and Models specific to Computer Vision
Avatars for Zoom, Skype and other video-conferencing apps.
State-of-the-Art Text Embeddings
Janus-Series: Unified Multimodal Understanding and Generation Models
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.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
PyTorch implementation of adversarial attacks [torchattacks]
PyTorch implementation of Contrastive Learning methods
A quickstart and benchmark for pytorch distributed training.