machine-learning

NBA sports betting using machine learning

Simulation of spiking neural networks (SNNs) using PyTorch.

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

TensorLy: Tensor Learning in Python.

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

A selection of state-of-the-art research materials on trajectory prediction

Machine Learning in R

High-performance automatic differentiation of LLVM and MLIR.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Version control for machine learning

🦆 Contextually-keyed word vectors

A unified framework for Deep Learning Models on tabular data

A NSFW (aka porn) detector with CoreML

A model-agnostic visual debugging tool for machine learning

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Deep Neuroevolution

Pre-trained Neural Network models in Axon (+ 🤗 Models integration)

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Collection of google colaboratory notebooks for fast and easy experiments

Synthetic data generators for tabular and time-series data

AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)

Machine learning with dataframes

The Self-Coding System for Your App — Alan AI SDK for Ionic

MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Awesome resources on normalizing flows.