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A curated list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis.

BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.

Data-to-paper: AI-driven research from data to human-verifiable research papers.

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".

Basic proof of concept for genetic architecture search in Keras.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Example of RAG architecture using semantic search and summarization for retrieving Bible passages.

ImageBind One Embedding Space to Bind Them All.

Foundational Models for State-of-the-Art Speech and Text Translation.

A toolkit for reproducible reinforcement learning research.

Research paper summariser application for our hackathon.

Knowledge sharing platform for data scientists and other technical professions.

Google Cloud Knowledge Catalog Tools and Samples

PyTorch Meta-learning Framework for Researchers.

Collection of infrastructure and tools for research in neural network interpretability.

Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.

Framework that implements AutoML algorithms for model architecture search at scale.

Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.

Transactional alternative to Elasticsearch, built on Postgres.

The lightweight PyTorch wrapper for high-performance AI research.

Toolbox of models, callbacks, and datasets for AI/ML researchers.

A github util where AI will do the paper reading for you instead.

Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.

Distributed system for embedding-based vector retrieval.