Open-source gym & body-weight tracker, now in the App Store (iPhone + Apple Watch) and as an Android APK. Plan routines, log workouts, see which muscles are trained, import from Strong/Hevy/FitNotes. Self-host it or use it on the phone alone.
Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
高性价比人生指南·海外版:高性价比留学。出国留学奖学金、免学费、政府全奖、带薪读博,德国日本学手艺有人发钱,美加澳奖学金单独成节。不是你花钱去留学,是你拿钱去留学。71 条,只引官方来源。关注作者:微信视频号 Becky在地球村
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Speedrun for pretraining without backpropagation
Find secrets with Gitleaks 🔑
Learn to sing the songs you love. A free, open-source singing trainer for Mac that listens to the music you play.
🤗 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.
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
RL training environments for Microduck (mjlab)
A straightforward method for training your LLM, from downloading data to generating text.
[arXiv 2026] Unified Audio-Video Creation via Progressive Training and Asymmetric Scheduling
Counter-Strike 2 2026 toolkit for Premier practice, aim training, crosshair and sensitivity profiles, utility notes, CS2 settings, FPS optimization and match analysis.
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.
Code for training G1 humanoid with a foothold prediction model
A unified inference and post-training framework for accelerated video generation.
Infrastructure for continually self‑improving agents
Tell your coding agent which dependencies changed after its training cutoff. Diffs types and changelogs, writes a short block into AGENTS.md / CLAUDE.md.
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
The ultimate training toolkit for finetuning diffusion models
An autonomous agent that profiles, optimizes, and validates AI training code.
Ongoing research training transformer models at scale
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. 🔥 Also check: https://hackertraining.org
Multimodal RL training framework for diffusion & omni models
Post training code for IFM K2 Horizon
Dist-MoE implements Speed-of-Light distributed Mixture-of-Experts forward and backward kernels. They are highly optimized and fused comm-compute kernels for training and inference on SM100+ GPUs
RL observability for LLM agents: behavior maps, native trainer metrics, rollout investigations, and Python/SQL analysis.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Destiny 2 2026 toolkit for PvP and PvE builds, exotic weapons, raid planning, Crucible training, loadouts, FPS optimization and Guardian progression
🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
An interface library for RL post training with environments.
🔥 On-Policy Self-Distillation in Diffusion Models
slime is an LLM training framework for RL Scaling.
Official repository for "OpenWAM: An Open, Modular Exploration Towards Systematic World–Action Model Pretraining".
Open-source code for training and scaling up energy-based foundation models.
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video & Music Models
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
Conversation-native studio for evidence-backed specialist-model research, training, evaluation, and delivery.
ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
Damn Vulnerable Web Application (DVWA)
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
A unified multimodal deep research agent for images and videos, with open models, datasets, and training and evaluation code.
AI-Native & Cloud-Native FS: A high-performance file semantic layer for cloud object storage, integrated with high-speed cache. CNCF Sandbox Project.
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
[Assembly NIST] Assembly policy learning for a Franka arm in MuJoCo. Independent implementation of AlphaNIST with PPO, training code, and pretrained policies.
A PyTorch native platform for training generative AI models
Machine Learning Engineering Open Book
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Pretraining Transformers Without Backpropagation
Rust Cheat 2026 — Rust gameplay analysis and training toolkit concept featuring recoil practice, aim training, weapon statistics, base building strategies, raid calculators, map analysis and combat performance tracking