ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Seamlessly integrate LLMs into scikit-learn.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Foundation Architecture for (M)LLMs

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A python library for user-friendly forecasting and anomaly detection on time series.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

💫 Models for the spaCy Natural Language Processing (NLP) library

💫 Industrial-strength Natural Language Processing (NLP) in Python

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

An Open Source Machine Learning Framework for Everyone

Learning to Rank in TensorFlow

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)