An open source AutoML toolkit for automate machine learning lifecycle.
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Open-source module for running AI workloads on Kubernetes in an optimized way.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
An open-source cross-platform performance library for deep learning applications.
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
A library that enables training PyTorch models with differential privacy.
A list of open LLMs available for commercial use.
Source code for Toxic Comment Classification Challenge.
Fully Autonomous Research Agent for Health Infomatics.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
Google TPU optimizations for transformers models.
Python-based meta-heuristic optimization techniques.
Google's Operations Research tools:
Passive OSINT reconnaissance framework in Rust: subdomains, DNS, ASN, certificate transparency history, GitHub dorking, tech fingerprinting, emails an
Machine Learning Framework from Industrial Practice.
Parris, the automated infrastructure setup tool for machine learning algorithms.
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
A complete object-oriented environment for machine learning in Matlab.
A Julia framework for probabilistic graphical models.
Python library for working with Probabilistic Graphical Models.
A better version of Jieba, developed by Peking University.
Production-Ready LLM Agent SDK for Every Developer.
Use AutoML to do model compression.
Multilingual text (NLP) processing toolkit.