[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

Python package for graph neural networks in chemistry and biology

Strategies for Pre-training Graph Neural Networks

How Powerful are Graph Neural Networks?

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluati…

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Foundation Architecture for (M)LLMs

DeepGNN is a framework for training machine learning models on large scale graph data.

A guided, intuitive introduction to genomics for software engineers. Curated by the community.

🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨

This repository contains demos I made with the Transformers library by HuggingFace.

PyTorch package for the discrete VAE used for DALL·E.

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Reusable neuroimaging pipelines using nipype

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

Software platform for clinical neuroimaging studies

[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"

Pytorch implementation of convolutional neural network visualization techniques

Stochastic Weight Averaging in PyTorch

Framework for the reproducible processing of neuroimaging data with deep learning methods

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Image-to-Image Translation in PyTorch

Winner of Mozilla's $50,000 prize for AI

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

Learn python3 in one picture.

The "Python Machine Learning (1st edition)" book code repository and info resource