🧠 Train a 64M-parameter LLM from scratch in just 2h!
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Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
- semantic-search
- emacs
- obsidian-md
- chat
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
- adapter
- diffusion
- llm
- parameter-efficient-learning
State-of-the-Art Embeddings, Retrieval, and Reranking
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
- agent-skills
- self-evolving-agents
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
A collection of libraries to optimise AI model performances
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
- agents
- calibration
- classification
- decision-making
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow
The foundation layer for agentic intelligence.
Run many AI agents at once on your Mac, up to 3x faster.
- agents
- apple-silicon
- artificial-intelligence
- inference-acceleration
TranslatedA completion of the landscape-format full character reference sheet based on the ZipZipPipe (胖次狐, "Panties Fox") AI girl character art: it is broken down into separate assets for three-view turnarounds / expressions / outfits / props, the side and back views are inferred and completed, and everything is stitched together at native pixels 1:1. CC BY-NC-SA 4.0, non-commercial.
- ai-art
- anime
- bilibili
- cc-by-nc-sa
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.
- calibration
- cuda
- cuda-graphs
- decision-making
⚡A curated list of awesome resources related to the Ⱥlgorand Blockchain ⛓
- awesome
- awesome-list
- algorand
- algorand-blockchain
DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.
- benchmark
- calibration
- decision-making
- evaluation
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.
MicroPython LoRa EBYTE E220 LLCC68 device library complete and tested with Arduino, esp8266, esp32, STM32 and Raspberry Pi Pico (rp2040 boards).
- arduino
- arduino-samd-boards
- e220
- ebyte