github.com
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Directory
Search results
Published directory entries matching your search.
github.com
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
github.com
Framework for distributed hyperparameter optimization.
github.com
Library for hyperparameter optimization and black box optimization benchmarks.
github.com
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
github.com
"building applications with LLMs through composability".
github.com
A framework for elegantly configuring complex applications.
github.com
Platform for deploying your Machine Learning to production.
github.com
A very simple wrapper for convenient hyperparameter optimization.
github.com
General Automated Machine Learning Framework.
github.com
Distributed Asynchronous Hyperparameter Optimization in Python.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
github.com
Toolset for black-box hyperparameter optimisation.
github.com
An open-source visual programming environment for battle-testing prompts to LLMs.
github.com
Julia-language backend combined with the Jupyter interactive environment.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
github.com
Creates or edits images with generative models and visual controls.
github.com
Rails-like inflection library for Clojure and ClojureScript.
github.com
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
github.com
Notebooks and code for the book "Introduction to Machine Learning with Python".
github.com
Autograd and XLA for high-performance machine learning research.
github.com
A python library for doing approximate and phonetic matching of strings.
github.com
A project to make it easier to use large external knowledge bases with LLMs.
github.com
Chinese Words Segmentation Utilities.