Beast code in Giters

solaren's starred repositories

hello-algo

《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

Language:JavaNOASSERTION96103 533 218

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, moss等。

Language:PythonGPL-3.064497 276 1587

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Language:PythonNOASSERTION35656 996 188

ollama

Get up and running with Llama 2, Mistral, and other large language models locally.

Language:GoMIT32412 226 1238

awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

Language:CSS21319 5570

vit-pytorch

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

Language:PythonMIT19894 151 264

llama2.c

Inference Llama 2 in one file of pure C

Language:CMIT17245 191 220

ml-stable-diffusion

Stable Diffusion with Core ML on Apple Silicon

Language:PythonMIT16735 137 246

ratatui

Rust library that's all about cooking up terminal user interfaces (TUIs) 👨‍🍳🐀

Language:RustMIT9427 32 310

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Language:PythonMIT8029 114 300

cog

Containers for machine learning

Language:PythonApache-2.07901 69 742

llm

[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models

Language:RustApache-2.06065 50 231

ShortGPT

🚀🎬 ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation

Language:PythonMIT5627 64 106

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Language:Jupyter NotebookApache-2.04723 44 123

burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Language:RustApache-2.04655 44 292