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Name: Jenny
Type: User
Name: Jenny
Type: User
🧑🏫 50! 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, ... 🧠
A curated list of Cheminformatics libraries and software.
Collection of resources related with Graph Contrastive Learning.
Awesome Graph Self-Supervised Learning
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A curated list for awesome self-supervised learning for graphs.
Message Passing Neural Networks for Molecule Property Prediction
Comparisons of Drug Generation Models
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Hitting Stride by Degrees: Fine Grained Molecular Generation via Diffusion Model
This project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".
Ultra-fast and Accurate Spectrum Matching
G-SchNet - a generative model for 3d molecular structures
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
List of Publications in Graph Contrastive Learning
An index of recommendation algorithms that are based on Graph Neural Networks.
Must-read papers on graph neural networks (GNN)
Google Research
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)
Graph neural networks for molecular design.
Hierarchical Generation of Molecular Graphs using Structural Motifs
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.