Curated list of project-based tutorials

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

LLM101n: Let's build a Storyteller

《动手学大模型Dive into LLMs》系列编程实践教程

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Implementation of Nougat Neural Optical Understanding for Academic Documents

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

[ICLR 2024] Generating DP Synthetic Data without Training

Training PyTorch models with differential privacy

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

How to use wandb?

LPIPS metric. pip install lpips

A collection of 150+ surveys on LLMs

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

Likelihood Ratio Attack (LiRA) in PyTorch

The official GitHub page for the survey paper "A Survey of Large Language Models".

A supplementary code for Editable Neural Networks, an ICLR 2020 submission.

ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

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…

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)