Simple, concise implementations of machine learning techniques and utilities in Clojure.
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A lightweight framework for building LLM-based agents.
Deep learning framework written in Kotlin.
Koç University Deep Learning Framework.
A library of statistical distribution sampling and transducing functions.
Easy-to-use, scalable hyperparameter optimization framework.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A project to make it easier to use large external knowledge bases with LLMs.
Edit /src/streamlit app.py to customize this app to your heart's desire.:heart:.
Framework to connect a flow of ML models by applying graph theory.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open-source visual programming environment for battle-testing prompts to LLMs.
A machine learning craftsmanship blog.
Toolset for black-box hyperparameter optimisation.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Distributed Asynchronous Hyperparameter Optimization in Python.
General Automated Machine Learning Framework.
A very simple wrapper for convenient hyperparameter optimization.
A framework for elegantly configuring complex applications.
Discover amazing ML apps made by the community.