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Open-source, low-code machine learning library in Python that automates machine learning workflows.

Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.

Python interface for converting Penn Treebank trees to Stanford Dependencies.

A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.

Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).

A Python library for implementing a Recommender System.

A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

A Modular Framework for Multi-Modal Tabular Learning.

Graph Neural Network Library for PyTorch.

Deep learning framework to train, deploy, and ship AI products Lightning fast.

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

A PyTorch-Based Framework for Deep Learning in Computer Vision.

Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.

Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.

File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

Works with speech, voice, music or other audio using machine-learning models.

The open source solution for monitoring your AI models in production.

CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.

Statistics, data mining and machine learning toolbox in Java.

A "machine learning framework to automate text-and voice-based conversations.".

Implementing a ChatGPT-like LLM from scratch, step by step.

Fast and simple framework for building and running distributed applications.

A C library for product recommendations/suggestions using collaborative filtering (CF).