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Library for hyperparameter optimization and black box optimization benchmarks.
Framework for distributed hyperparameter optimization.
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.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Fundamentals of machine learning in python.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
GPT-4 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
Hyperparameter optimization framework, inspired by Optuna.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Friendly Federated Learning Framework.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Finds accurate ML models automatically, efficiently and economically.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Industrial Grade Federated Learning Framework.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
Exam Samurai provides machine-learning models, research, training resources, or evaluation tools.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
Machine learning development environment for data science and AI/ML engineering teams.
Scala Library/REPL for Machine Learning Research.