📺 Discover the latest machine learning / AI courses on YouTube.

Tutorial and hands-on notebook on using the Knowledge Graph Toolkit (KGTK)

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Scenic: A Jax Library for Computer Vision Research and Beyond

Flax is a neural network library for JAX that is designed for flexibility.

Differentiable convex optimization layers

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A curated list of data mining papers about fraud detection.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

Open source code for AlphaFold.

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!

Library that contains implementations of machine learning components in the hyperbolic space

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Simple and Distributed Machine Learning

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Implementation of TabTransformer, attention network for tabular data, in Pytorch

NeuralProphet: A simple forecasting package

Lifetime value in Python

A mask-guided method for control over localized regions in StyleGAN2 images.

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

This repo contains annotated research papers that I found really good and useful