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Starred repositories
An open-source desktop app for generating videos with LTX models
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, L…
A curated list of plugins for DeepSeek Harness (dsh) · DeepSeek Harness 插件精选列表
Meta-Framework of Spatiotemporal Composability
DeepSeek Harness: Everything is a Plugin.
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
The open-source alternative to Claude Cowork (powered by opencode)
Create and share 3D architectural projects.
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python depend…
Clean, polished interface for Tencent’s SongGeneration. Create songs from text prompts or reference audio, with batch processing and smart model selection. Minimum Requirement: 10GB of VRAM
Think with AI beyond the chat box. A shared canvas for handwriting, equations, diagrams, and spatial reasoning.
Implementation of LatentMoE,Toward Optimal Accuracy per FLOP and Parameter in Mixture of Experts (Elango et al., NVIDIA 2026) — in Pytorch. A single-file, dependency-light layer you can drop in pla…
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
gz83 / thorium
Forked from Alex313031/thoriumChromium fork named after radioactive element No. 90. Windows and MacOS/Raspi/Android/Special builds are in different repositories, links are towards the top of the README.md.
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
Data Analysis and EDA using Python
Postgres rewritten in Rust, now faster than Postgres and Clickhouse
Flyline: a Bash plugin to replace readline for a modern line editing experience: syntax highlighting, agent integration, rich prompts, tooltips, fuzzy history search, and more!
A tiny ~10K-parameter LLM router that learns which open-source model (deepseek-v4-pro / glm-5p2 / kimi-k2p6 via Fireworks) should answer each question and in what role, trained by evolution (sep-CM…
Build local voice agents with open-source models
Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.