Open-source projects, experiments, and active repositories fetched directly from GitHub.
A full-stack MLOps pipeline for an AI support agent, featuring automated retraining, model monitoring, and seamless deployment using ZenML and BentoML.
Recursive Episodic Memory (REM) implementation for autonomous agents, enabling long-term memory retrieval and coherent behavior over extended horizons.
A real-time machine learning feature pipeline that processes streaming data and serves features with sub-millisecond latency for online inference.
A high-performance consistent hashing implementation in Rust, designed for distributed systems and load balancing with minimal overhead.
A collection of core mathematical concepts for machine learning implemented from scratch, covering linear algebra, calculus, and optimization algorithms.
An AI-powered tool for generating realistic synthetic database records, helping developers seed their environments with meaningful test data.
A lightning-fast CLI tool written in Go for synchronizing environment variables across different machines and team members securely.
An automated content creation workflow powered by DeepSeek-R1, designed to generate high-quality technical blog posts and documentation.
A repository dedicated to implementing cutting-edge AI research papers from scratch in PyTorch, focusing on clarity and correctness.
An implementation of Double Deep Q-Networks (DDQN) for reinforcement learning, applied to classic control problems with benchmarks.
