Arijit Sehanobish's repositories
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
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
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
simpletopics
composite scores for indexed descriptions to target document(s)