github.com
An open-source visual programming environment for battle-testing prompts to LLMs.
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iamtrask.github.io
A machine learning craftsmanship blog.
github.com
Toolset for black-box hyperparameter optimisation.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
github.com
Distributed Asynchronous Hyperparameter Optimization in Python.
github.com
General Automated Machine Learning Framework.
github.com
A very simple wrapper for convenient hyperparameter optimization.
github.com
A framework for elegantly configuring complex applications.
huggingface.co
Discover amazing ML apps made by the community.
huggingface.co
Discover amazing ML apps made by the community.
github.com
Library for hyperparameter optimization and black box optimization benchmarks.
github.com
Framework for distributed hyperparameter optimization.
github.com
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
github.com
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
github.com
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
github.com
Fundamentals of machine learning in python.
github.com
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
gpt4demo.com
GPT-4 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
gpt3demo.com
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
mmottl.github.io
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
github.com
Hyperparameter optimization framework, inspired by Optuna.
github.com
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
github.com
Friendly Federated Learning Framework.
github.com
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).