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AirLLM dramatically reduces inference memory usage, letting 70B large language models run on a single 4GB GPU card — without quantization, distillation, or pruning. 8-Flash-Next (125B) on 6GB, and DeepSeek-V3 (671B) on 12GB. 8-Flash-Next (125B) under 6GB.

模块 一句话 详见 🔀 能力路由 多数据集(日K/除权/实时/分钟/盘口/财务,持续扩展)按源能力独立路由,任选组合 custom-data-source.md 🔍 选股引擎 25 个内置策略 + 分钟策略 + 自定义信号 + AI 生成,Polars 毫秒级扫全 A 股 strategy.md 📊 指标流水线 MA/EMA/MACD/RSI/KDJ/布林/量比等 68 列指标与信号,一次扫表落盘 enriched Parquet features.md 🧪 回测研究 因子/策略/分钟回测 +…

2 is a state-of-the-art large 3D generative model (4B parameters) designed for high-fidelity image-to-3D generation.

Build your own AI SRE agents. The open source toolkit for the AI era.

I implemented a transformer model from scratch using PyTorch, based on the paper Attention is All You Need. You can use my scripts to train your own billion or million parameter LLM using a single GPU.

预览地址为 ，简体中文位于根目录，英文与繁體中文分别位于 en/ 和 zh-tw/。生成文件位于 build/，详细说明见网站构建与发布。

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Reef is the first open-source infrastructure for continual self-improving agents. It connects agent inference, feedback, learning, and versioned delivery. Use it to train model weights with Slime and SGLang, or improve an agent's harness, including its prompts, rules, and skills.

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more.

The world is rushing to build AI systems. It is not engineering them.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A comprehensive library to post-train foundation models

MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

We've been very happy to see FlashAttention being widely adopted in such a short time after its release. This page contains a partial list of places where FlashAttention is being used.

リアルタイムボイスチェンジャー Realtime Voice Changer

org: the forever free, adless and open source chess server ♞

🍔 In addition, ms-swift integrates the latest training technologies, including Megatron parallelism techniques such as TP, PP, CP, EP to accelerate training, as well as numerous GRPO algorithm family reinforcement learning algorithms including: GRPO, DAPO, GSPO, SAPO, CISPO…

Welcome to the magical world of Diffusion models! DiffSynth-Studio is an open-source Diffusion model engine developed and maintained by the ModelScope Community team.

🤗 Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.

LLMs in simple, pure C/CUDA with no need for 245MB of PyTorch or 107MB of cPython. py. You'll recognize this file as a slightly tweaked nanoGPT, an earlier project of mine.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Try the browser demo — no installation; inference runs on your device using WebGPU or WASM.

We introduce Context Language Models (CLMs), language models that natively manage their own context. We implement this by treating the context as a file and allowing the model to make unrestricted updates to this file.

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Damn Vulnerable Web Application (DVWA) is a PHP/MariaDB web application that is damn vulnerable.

This project provides a user-friendly Gradio-based Graphical User Interface (GUI) for Kohya's Stable Diffusion training scripts.