machine-learning

Accelerated deep learning R&D

A library for audio and music analysis, feature extraction.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

List of AI Residency Programs

Statistical and Algorithmic Investing Strategies for Everyone

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

JAX-based neural network library

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Carefully curated resource links for data science in one place

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

📚 Jupyter notebook tutorials for OpenVINO™