π My stack
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
π¦π Fully automated version management and package publishing
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Hydra is a framework for elegantly configuring complex applications
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
dstack is an open-source control plane for running development, training, and inference jobs on GPUsβacross hyperscalers, neoclouds, or on-prem.
Aim π« β An easy-to-use & supercharged open-source experiment tracker.
A collection of robotics simulation environments for reinforcement learning
A bootstrapping and management tool for k0s clusters.
π²Basic prettifier for Pino log lines
π tslog - Universal Logger for TypeScript and JavaScript
π¦ GitHub Action for creating GitHub Releases
π€ The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Typer, build great CLIs. Easy to code. Based on Python type hints.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A high-throughput and memory-efficient inference and serving engine for LLMs
Large Language Model Text Generation Inference
Configuration classes enabling type-safe PyTorch configuration for Hydra apps