Popular GitHub Repositories for Secure Computation

Enhancing code comprehension with AI-driven explanations and a secure code snippet repository.

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

Secure open source cloud runtime for AI apps & AI agents

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Gorgonia is a library that helps facilitate machine learning in Go.

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

A curated list of awesome responsible machine learning resources.

a self-hosted solution for running ai-generated code in secure sandboxes

? ? ? ? GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

Hummingbird compiles trained ML models into tensor computation for faster inference.

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

A list of awesome compiler projects and papers for tensor computation and deep learning.

A unified framework for privacy-preserving data analysis and machine learning

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Fast and Easy Infinite Neural Networks in Python

A next-gen FOSS self-hosted unified zero trust secure access platform that can operate as a remote access VPN, a ZTNA/BeyondCorp architecture, API/AI gateway, a PaaS, an infrastructure for MCP & A2A architectures or even as an ngrok-alternative and a homelab infrastructure.

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai