Stars
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
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