DeepInfer: High-performance, large-scale inference framework for DeepSeek models
ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
π·οΈ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
Making large AI models cheaper, faster and more accessible
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
List of ngrok, Cloudflare Tunnel, Tailscale, and ZeroTier alternatives and other tunneling software and services. Focus on self-hosting.
Ongoing research training transformer models at scale
Wan: Open and Advanced Large-Scale Video Generative Models
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
Docs is an open-source text editor: web-native, made for real-time collaboration, cleanly structured documents and sub-documents with full ownership of your data. Built to scale with Django and React.
Software to automate the management and configuration of infrastructure and applications at scale.
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.
Light, flexible and extensible ASGI framework | Built to scale
π§ pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
ποΈ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
IntelOwl: manage your Threat Intelligence at scale
Open source hardware and software platform to build a small scale self driving car.
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
A high-performance distributed training framework for Reinforcement Learning
TrueNAS CORE/Enterprise/SCALE Middleware Git Repository
Single-cell analysis in Python. Scales to >100M cells.
BLE monitor for passive BLE sensors
FinOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.
Agentic RL Training at Scale
Ready-to-run Docker Compose stacks for 120+ self-hosted apps, each with a Tailscale sidecar and automatic HTTPS
Django email backends and webhooks for Amazon SES, Brevo, MailerSend, Mailgun, Mailjet, Mailtrap, Postmark, Postal, Resend, Scaleway TEM, SendGrid, SparkPost, Unisender Go and more
Large-scale LLM inference engine
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
SOTA-Class TTS at Compact Scale
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Scalable data pre processing and curation toolkit for LLMs
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
Music Theory for Humans.
AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at scale. Includes REST API, Python and JavaScript SDKs, browser debugger.
:milky_way: Open Source AI for large scale open ended feedback
π Ansible playbook which helps you host various FOSS services as Docker containers on your own server
Recipes to scale inference-time compute of open models
Token-scale scientific discovery engine β autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
Build fast and accurate GenAI apps with GraphRAG SDK at scale π
A Framework of Small-scale Large Multimodal Models
Real-time, container-based file scanning at enterprise scale
Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.
β
BioNeMo Recipes: For building and adapting AI models in drug discovery at scale
Agentic RL on Any Harness at Scale
Scale LLM Engine public repository
A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.
High-performance Vision library in Python. Scale your research, not boilerplate.
A framework designed to manage context, dependencies, and tasks in large-scale Cline projects within VS Code
Neural latent upscaler for Minimax H3 (24ch). Bypasses costly 5B-param VAE decode/encode. Upscale low-res latents directly, then refine. Accelerates high-res video gen, outperforms naive interp.
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
RLβEmpowered SmallβScale Competitive Guandan Agent
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.