chaitjo Goto Github PK
Name: Chaitanya Joshi
Type: User
Company: University of Cambridge
Twitter: chaitjo
Location: San Francisco
Blog: chaitjo.github.io
Name: Chaitanya Joshi
Type: User
Company: University of Cambridge
Twitter: chaitjo
Location: San Francisco
Blog: chaitjo.github.io
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Use Artificial Intelligence to find promiscuous Tinder matches
Paper list for equivariant neural network
Pipeline used to assess RNA in CASP15
Keras implementation of Character-level CNN for Text Classification
A generative model for programmable protein design
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Draw RNA secondary structures in python.
Code and resources on scalable and efficient Graph Neural Networks
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Simple and flexible progress bar for Jupyter Notebook and console
A simple REST Api using Flask-Restful and MongoDB
Code for “FlowMM Generating Materials with Riemannian Flow Matching”.
Transformers are Graph Neural Networks!
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
List of Geometric GNNs for 3D atomic systems
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Protein Graph Library
Hands On Natural Language Processing with Python, published by Packt
Building Knowledge Graphs from Unstructured Text
Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
Augmenting word embeddings with their surrounding context using bidirectional RNN
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
Higher order equivariant graph neural networks for 3D point clouds
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.