Kolosal AI
Open-source platform for running large language models locally, so your data stays private and inference stays fast. Custom training and production-ready inference at scale.
Open-source tools, platforms, and applications
Open-source platform for running large language models locally, so your data stays private and inference stays fast. Custom training and production-ready inference at scale.
Production-ready inference with TensorRT acceleration. Handles batching, model versioning, and GPU memory management. Built under Kolosal AI.
End-to-end AutoML with a Gradio UI: from hyperparameter tuning with Optuna to experiment tracking with MLflow, all in one open-source platform built under Kolosal AI.
An extended self-organizing map library with smarter initialization options and built-in cluster quality metrics, so unsupervised topology learning is more rigorous and reproducible.
Real-time pose estimation with MediaPipe for form correction, rep counting, and personalized workout recommendations: your AI gym partner, running locally from your webcam.
A high-performance nuclear chain reaction simulator written in Rust: GPU-accelerated particle physics, real-time 3D visualization, and a 150+ isotope library drawn from ENDF/B-VIII.0 nuclear data.
A desktop app for evaluating stocks through technical and fundamental analysis, powered by on-device ML inference and a local Qwen2.5 1.5B LLM. No cloud, no subscriptions, fully private.
A community-driven platform connecting learners and researchers through structured courses and peer mentorship, built on the belief that good education should be accessible, not gatekept.
Building mental health awareness across Indonesia through accessible psychology content and peer-to-peer support networks, because understanding your mind shouldn't require a degree or a therapist's fee.
An interactive 3D brain visualization tool that predicts cortical activation patterns across six regions in response to text, image, and audio stimuli. It runs LLaMA, CLIP, and Wav2Vec encoders locally in Rust.
A high-performance Rust pipeline for limit order book microstructure research. From a single binary, it ingests raw tick data, computes order-flow imbalance features and 87 technical indicators, runs synthetic LOB simulations, and backtests signal-based strategies.