bhattg

Binary-Symmetric-Channel-Coding

Model for Binary Symmetric Channel decoded with joint typicality decoder.

Brain-tumor-Classification

CAL

Codebase for TMLR paper on Continual Active Learning

COVID_Literature

In this repo, I will try to keep the links to the important papers related to computational methods for Viruses.

Decay-RNN-ACL-SRW2020

This is an official pytorch implementation for the experiments described in the paper - "How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?", Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

ONLSTM

A very simple pytorch implementation to ONLSTMs

Papers-I-found-useful-till-the-current-time-

An attempt to maintain a record of papers I have read so far.

Transformer-scratch

implementation of transformer network from scratch

RNNs_SVA_OOD

This is an official pytorch implementation for the experiments described in the paper - Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?

MRL

Code repository for the paper - "Matryoshka Representation Learning"

bhattg/ONLSTM

A very simple pytorch implementation to ONLSTMs

bhattg/Decay-RNN-ACL-SRW2020

This is an official pytorch implementation for the experiments described in the paper - "How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?", Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

bhattg/Papers-I-found-useful-till-the-current-time-

An attempt to maintain a record of papers I have read so far.

bhattg/Binary-Symmetric-Channel-Coding

Model for Binary Symmetric Channel decoded with joint typicality decoder.

bhattg/CAL

Codebase for TMLR paper on Continual Active Learning

bhattg/COVID_Literature

In this repo, I will try to keep the links to the important papers related to computational methods for Viruses.

bhattg/Defense-against-adversarial-arts

bhattg/DSPN

Official Implementation of NeurIPS'24 spotlight paper "Deep Submodular Peripteral Networks"

bhattg/UnsupervisedScalableRepresentationLearningTimeSeries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

bhattg/Transformer-scratch

implementation of transformer network from scratch

bhattg/Asymptotic_Equipartition_Property

Visualization of AEP and other information theoretic aspects.

bhattg/atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

bhattg/bhattg.github.io

bhattg/BTech-Thesis-CogSci_NLP

bhattg/Cloud-Storage

The Repository contains the Deduplication algorithms used in the cloud storage.

bhattg/computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

bhattg/DropNet

DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)

bhattg/ffcv-imagenet

Train ImageNet *fast* in 500 lines of code with FFCV

bhattg/GerryFair

library for fair auditing and learning of classifiers with respect to rich subgroup fairness.

bhattg/gmm-torch

Gaussian mixture models in PyTorch.

bhattg/google-research

Google AI Research

bhattg/natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

bhattg/nlp-for-sanskrit

State of the Art Language models and Classifier for Sanskrit language (ancient indian language)

bhattg/Ordered-Neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

bhattg/Provable-Data-Subset-Selection-For-Efficient-Neural-Network-Training

Provable Data Subset Selection For Efficient Neural Network Training

bhattg/Recurrent-Independent-Mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

bhattg/Relevant-Activity-Frame-extraction-for-MOOCs

bhattg/rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

bhattg/rnn-hierarchical-biases

Code for "Does syntax need to grow on trees? Sources of inductive bias in sequence to sequence networks"

bhattg/slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019