machine-learning

Python package for stacking (machine learning technique)

Export Hugging Face models to Core ML and TensorFlow Lite

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

Machine learning algorithms for many-body quantum systems

🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Papers, code and datasets about deep learning for 3D Object Detection.

Machine learning for Ruby

This repository contains all the data analytics projects that I've worked on in python.

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Benchmark of federated learning. Dedicated to the community. 🤗

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.

Diagrams of concepts in physics/chemistry/ML

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

AI-powered weather intelligence for agricultural commodity futures. Predicts price moves 48-72 hours early across OJ, Coffee, Cocoa, Sugar, Corn and Wheat using Claude Sonnet + satellite data

A free audio dataset of spoken digits. An audio version of MNIST.

Build 12 Data Apps in Python with Streamlit

Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)

[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Fast topic modeling platform

How to survive CMU as an ECE/CS major