Energy-based machine learning models built upon PyTorch.
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LAION provides machine-learning models, research, training resources, or evaluation tools.
A Python package for Korean natural language processing.
A python package that integrates an LLM copilot inside the keras model development workflow.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
Jupyter notebook is a web-based notebook environment for interactive computing.
A python library for doing approximate and phonetic matching of strings.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Julia-language backend combined with the Jupyter interactive environment.
Distributed Asynchronous Hyperparameter Optimization in Python.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Fundamentals of machine learning in python.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open source Python library for drift detection in machine learning systems.
Easy-to-use and flexible AutoML library for Python.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Python distributed computing library for modern computer clusters.
Python library for automated feature engineering.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Python package to assess and improve fairness of machine learning models.