A high-throughput and memory-efficient inference and serving engine for LLMs

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord

An AI agent in your terminal that can connect to databases and generate insights

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …

🤗 smolagents: a barebones library for agents that think in code.

Unsupervised Domain Adaptation for Time Series Classification

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

Retrieval and Retrieval-augmented LLMs

Go ahead and axolotl questions

Domain Foundation Models for Time Series Classification

A toolkit for time series machine learning and deep learning

Multi Comparison Matrix: A long term approach to benchmark evaluations

OpenAI's CLIP model ported to JavaScript using the ONNX web runtime

Python project and library template for clean, reliable, open-source projects.

Hand-Crafted Convolutional Filters 4 Time Series

Hydra is a framework for elegantly configuring complex applications

A framework for the evaluation of autoregressive code generation language models.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A collection of AWESOME things about domain adaptation

OpenMMLab Self-Supervised Learning Toolbox and Benchmark