A unified ecosystem and workspace for large-scale federated learning of Large Models & LLMS. Store compute as Wifi
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Xiaomi-OCR-0
Idol: a single image to 3D Gaussians. Inference SDK and demo.
Pestinha é um pet virtual de desktop para Windows, com rede neural pulsada, emoções e personalidade que evolui com o usuário. Ele aprende com carinho e consequências, faz travessuras, brinca, trabalha e reage ao ambiente. Tudo funciona localmente, sem depender da nuvem.
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Cross-vendor 3D Gaussian Splatting trainer - video to splat to mesh, Vulkan or CUDA.
Here is a dlssg for RTX30 Series GPU
A lightweight, powerful framework for multi-agent workflows
"RAG-Anything: All-in-One RAG Framework"
A straightforward method for training your LLM, from downloading data to generating text.
🦀 Jumper — an crab robot.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Mundo: Customized World Model
🐧 Unified and Stable RSI Platform
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks
Reference PyTorch implementation and models for DINOv3
A benchmark comparing document-parsing systems, OCR models, and commercial parsers on 2,937 pages across text, tables, and layout.
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
QuantMind(量化大脑)开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台,提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析,到通达信深度联动(板块推送/预警雷达/闪电下单)与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用,系统采用 Docker Compose 一键私有化部署,数据与模型完全本地化,保障策略隐私,功能零门槛无限制。
Learn ML engineering for free in 4 months! Register here 👇🏼
Experimental Windows/NVIDIA GPU long-context inference engine (C++) with KV-cache paging to host memory, a downstream fork of NInfer.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Millisecond decisions, any domain: a 0.8B open "System 1" model that picks between your options with calibrated probabilities. One base, swappable LoRA adapters, on your own hardware.
64-bit RISC-V (RV64GC) core that boots Linux on an Arty A7 FPGA. Designed entirely by Claude Code: the specifications, RTL, verification and documents were all written by the AI.
Composable Elixir library for LLM interactions built on Req and Finch
Relax! Flux is the ML library that doesn't make you tensor
SABER enables identity-resolved quantification of multi-animal social behavior