- Russia, Yekaterinburg
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All Algorithms implemented in Python
An Open Source Machine Learning Framework for Everyone
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Robust Speech Recognition via Large-Scale Weak Supervision
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Material Design icons by Google (Material Symbols)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared …
🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
A refreshingly simple data-driven game engine built in Rust
A toolkit for developing and comparing reinforcement learning algorithms.
DuckDB is an analytical in-process SQL database management system
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Deezer source separation library including pretrained models.
Write scalable load tests in plain Python 🚗💨
A game theoretic approach to explain the output of any machine learning model.
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
ESM-powered frontend build tool. Instant, lightweight, unbundled development. ✌️
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.