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3d-generative-sbdd

💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-deep-learning

Applied Deep Learning

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-transformer

Papers about graph transformers.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

ce7454_2018

Deep learning course CE7454, 2018

coding-interview-university

A complete computer science study plan to become a software engineer.

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

cpu_optimized_matrixmultiplication

cs6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deeplearning-frombasics-1st-edition

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

deepul

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

dgl

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

dgl-lifesci

Python package for graph neural networks in chemistry and biology

dig

A library for graph deep learning research

dl-colab-notebooks

Try out deep learning models online on Google Colab

dl4moleculargraph

Literature of deep learning for graphs in Chemistry and Biology

genomic-ulmfit

ULMFiT for Genomic Sequence Data

gflownet

Generative Flow Networks