Chaitanya Joshi

efficient-gnns. Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

geometric-gnn-dojo. Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

graph-convnet-tsp. Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

geometric-rna-design. gRNAde is a Generative AI framework for inverse design of 3D RNA structure and function

learning-tsp. Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

personalized-dialog. Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

markowitz-portfolio-optimization. Markowitz portfolio optimization on synthetic and real stocks

regression-stock-prediction. Predicting Google’s stock price using regression

character-level-cnn. Keras implementation of Character-level CNN for Text Classification

lstm-context-embeddings. Augmenting word embeddings with their surrounding context using bidirectional RNN

gated-graph-transformers. Transformers are Graph Neural Networks!

alphafold3. Hackable AlphaFold 3 inference pipeline.

learning-paradigms-for-tsp. Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

knowledge-graphs. Building Knowledge Graphs from Unstructured Text

auto-mate-for-tinder. Use Artificial Intelligence to find promiscuous Tinder matches

structured-self-attention. Keras implementation of the Structured Self-Attentive Sentence Embedding model

flask-mongodb. A simple REST Api using Flask-Restful and MongoDB

music-library-ocd-fixer. Automatically fetch metadata for your music collection and rename files accordingly

working-women. Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)

mnist-cnn-autoencoder. Using deep CNNs and stacked autoencoders to classify images of digits from the MNIST dataset

Perceptron. Perceptron algorithm implemented from scratch

nn-classification-and-regression. Using deep neural networks for classification and regression problems

transformers-are-gnns.

NTUOSS-MachineLearningWorkshop. Introductory Machine Learning workshop for NTU Open Source Society

Velocity. A 2D lane-switching game made using the graphics.h C++ library

PreparedForU. A simple tool for university aspirants and students in Singapore to estimate and visualize their spending based on publicly available data

stock-prediction-kaggle. Machine Learning Kaggle BattleFin Stock Prediction competition

understanding-inductive-biases-of-gnns. Geometric Deep Learning @ University of Cambridge

alphaflow. AlphaFold Meets Flow Matching for Generating Protein Ensembles

draw_rna. Draw RNA secondary structures in python.

chai-lab. Chai-1, SOTA model for biomolecular structure prediction

equiformer_v2. [ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

multiflow. Python

RibonanzaNet. Python

lobster. Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation

all-atom-diffusion-transformer. Official implementation of All Atom Diffusion Transformers (ICML 2025)

flowmm_clone. Code for “FlowMM Generating Materials with Riemannian Flow Matching”.

papers-for-molecular-design-using-DL. List of Molecular and Material design using Generative AI and Deep Learning

boltz. Clone for the Boltz biomolecular interaction models

dump.