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Starred repositories
PyTorch building blocks for the OLMo ecosystem
Enhance LLM problem-solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting. This repo includes the REAP prompt framework, code for reproducing experiments, datasets,…
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
A python package using machine learning to study symmetry.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.
OpenCUA: Open Foundations for Computer-Use Agents
The official firmware for Meshtastic, an open-source, off-grid mesh communication system.
Плагин для HA позволяющий использовать Ирину в качестве STT
iacopPBK / llama.cpp-gfx906
Forked from ggml-org/llama.cppllama.cpp-gfx906
Local development against a remote Kubernetes or OpenShift cluster
a graph explorer of the Epstein emails
Train your AI self, amplify you, bridge the world
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
RuQualBench: A benchmark for evaluating the quality of the Russian language in LLM responses
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Этот репозиторий содержит автоматически обновляемые правила маршрутизации V2Ray, основанные на данных о заблокированных доменах и адресах в России.
Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, Tunnel, Mixed, HTTP)
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Build reliable Gen AI solutions without overhead 🍕
Silero Stress — pre-trained enterprise-grade automated stress and homograph disambiguation for the Russian language
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
Lightweight infinite reactive stream processing framework
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild