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An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

Scipy library main repository

Prototype for Python Array API Use Case. PyTorch Tensors with Scipy.

Experiments with Message Passing GNNs in C++ and PyTorch.

Blog for TMVA Interfaces PyTorch, GSoC @ CERN-HSF

Some experiments with particle physics datasets.

AI conference papers search space visualized based on similarity.

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This is a question bank for practicing Machine Learning for Interviews.

Autoencoders for Unsupervised Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

🤓 Build your own (insert technology here)

This repo will be used to save and run random scripts and tests.

My Internship Talk @quansight-labs

The "Python Machine Learning" book code repository and info resource

Development site and blog for Quansight Labs

Geometric Deep Learning Extension Library for PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Computation using data flow graphs for scalable machine learning

A curated list of awesome Machine Learning frameworks, libraries and software.

Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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NumPy & SciPy for GPU

Datasets, Transforms and Models specific to Computer Vision

Weekly reading group on Graphs at Mila

Holds the config files for macOS, zsh, tmux, vim etc..

A repo for data science related questions and answers

Essential Cheat Sheets for deep learning and machine learning researchers

Learning Python The Hard Way

ACM-ICPC Preparation Guide

Autogluon-cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on the cloud without worrying about MLOps details such as resource management

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

ML Assistant for Competitive Machine Learning

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AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

pykoi: Active learning in one unified interface

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

A clean, three-column Sphinx theme with Bootstrap for the PyData community

A friend to fetch your data files

Markdown <=> IPython Notebook

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Books with Jupyter notebooks

Kod, matematik, çoklu-çerçeveler ve tartışmalar içeren etkileşimli derin öğrenme kitabı. 55 ülkede Stanford, MIT, Harvard, and Cambridge dahil 300 üniversitede kullanılmaktadır.

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Japanese translation of Dive into Deep Learning

Utility scripts

The fundamental package for scientific computing with Python.

A general dispatch and override mechanism for Python.

RFC document, tooling and other content related to the array API standard

root.cern

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Code for extracting images from PDFs

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GitHub ReadMe

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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

:memo: An awesome Data Science repository to learn and apply for real world problems.

Swift for TensorFlow Project Home Page

Physical adversarial attack for fooling the Faster R-CNN object detector

The most cited deep learning papers

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

A Toolbox for Adversarial Robustness Research

Graph Convolutional Networks (GCNs)

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Code Samples from Neural Networks for NLP

Turi Create simplifies the development of custom machine learning models.

Oxford Deep NLP 2017 course