arijitthegame

Quantum-Hamiltonians

Accompanying code for the paper "Learning Potentials of Quantum Systems using Deep Neural Networks" by Sehanobish et al and the followup work "Learning Full Configuration Interaction Electron Correlations with Deep Learning"

hybrid-sampling

Adaptation of Hybrid methods to softmax sampling. Code for some results and the general hybrid mechanisms for our work in https://openreview.net/pdf?id=EMigfE6ZeS

encoding_wasserstein_metrics

Using set encoders to encode Wasserstein Spaces

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

Fast-Attention

Repo for various RPE/Masking Mechanisms for low rank attention.

Graphformer_variant

Variants of graphformer to node classification

hyperbolics

Hyperbolic Embeddings

self-supervsed_edge_feats

code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>

adapter-transformers

Huggingface Transformers + Adapters = ❤️

awesome-equivariant-network

Paper list for equivariant neural network

CoLT5-attention

Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch

Contrastive_losses

Repo for various contrastive losses

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

Determinantal-Point-Processes

enformer_performer

Adaption of performers to enformer

fast-convolution-graph-algorithms

Algorithms for efficient graph field integration

Geometric-Deep-Learning

Understanding non-Euclidean latent spaces for representation learning

geomstats

Computations and statistics on manifolds with geometric structures.

GKAT-Experiments

gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

Hamiltonian-Networks

Repo to store code for experiments with Hamiltonian Neural networks

matrix-exponential-action

Fast Accurate methods to approximate the action of a matrix exponential on a vector

medicat

Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references

neural-network-kernels

Linearizing deep neural networks via RF mechanisms

openai-cookbook

Examples and guides for using the OpenAI API

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

perturb

sc2drug

Using single cell data for drug repurposing.

simpletopics

composite scores for indexed descriptions to target document(s)