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[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
Code for 3D-LLM: Injecting the 3D World into Large Language Models
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
An easy-to-use utility to share files on a local network. It supports the download of files and directories, the upload of multiple files at once, and deletions. The user can also upload an existing directory as a .zip file.
Active learning
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Official Repository for the NeurIPS 2023 Paper "Scalable 3D Captioning with Pretrained Models"
Message Passing Neural Networks for Molecule Property Prediction
Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"
Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
The codes are from MICCAI 2022, "Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis"
MONAI Tutorials
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
A knowledge graph and a set of tools for drug repurposing
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
E5-V: Universal Embeddings with Multimodal Large Language Models
A simple molecule fragmentation method.
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
Using Genetic Algorithm to find luminascent material
A Pytorch implementation of CVPR 2022 paper "Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation"
test for pull
gnn explainer
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.