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LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
📺 An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion
Use React, Redux, Immutable to code Tetris. 🎮
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Paret-Front Diverse Batch Multi-Objective Bayesian Optimization
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
The Implementation of Reinforcement Learning Algorithms with Negatively correlated search framework. It contains four algorithms: NCS-C, NCSCC, NCSRE, NCNES. It based on OpenAI CES API and details …
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Run Stable Diffusion on Mac natively
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
A framework for few-shot evaluation of language models.
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
Awesome LLM Benchmarks to evaluate the LLMs across text, code, image, audio, video and more.
⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。
Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs"
Using Low-rank adaptation to quickly fine-tune diffusion models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Automatically evaluate your LLMs in Google Colab
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.