yansonggu's repositories
autograd
Efficiently computes derivatives of numpy code.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
awesome-equivariant-network
Paper list for equivariant neural network
awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
chemprop
Message Passing Neural Networks for Molecule Property Prediction
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DIG
A library for graph deep learning research
DimeNet-dgl
A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).
escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
fastbook
The fastai book, published as Jupyter Notebooks
foldingdiff
Diffusion models of protein structure; trigonometry and attention are all you need!
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Learn-C
A curated list of the top books to learn C programming, carefully selected to provide a comprehensive understanding of the language. Perfect for beginners and those looking to enhance their skills, these books guide you through C programming intricacies.
manim
A community-maintained Python framework for creating mathematical animations.
papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
qchem
An exploration of the state of the art in the application of data science to quantum chemistry.
schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
stable-diffusion
A latent text-to-image diffusion model
targetdiff
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
tinker
Tinker: Software Tools for Molecular Design
tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow