A collective list of free APIs

An opinionated list of awesome Python frameworks, libraries, software and resources.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

A natural language interface for computers

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

Making large AI models cheaper, faster and more accessible

State-of-the-Art Text Embeddings

The Data Engineering Cookbook

Train transformer language models with reinforcement learning.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Repo for external large-scale work

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Uplift modeling and causal inference with machine learning algorithms

📊 A simple command-line utility for querying and monitoring GPU status

Seamlessly integrate LLMs into scikit-learn.

An Open-source Toolkit for LLM Development

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Extracts and formats text annotations from a PDF file

Convert Cloudformation templates to Terraform.

docTTTTTquery document expansion model

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptatio…

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

Amazon SageMaker Local Mode Examples

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

Accelerated NLP pipelines for fast inference on CPU and GPU. Built with Transformers, Optimum and ONNX Runtime.

A toolkit for end-to-end neural ad hoc retrieval