bhattg Goto Github PK

asymptotic_equipartition_property

Visualization of AEP and other information theoretic aspects.

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

basic-tools-for-machine-deep-learning

This repository contains implementation of basic needs while encountering the machine learning/deep learning problems.

bhattg.github.io

binary-symmetric-channel-coding

Model for Binary Symmetric Channel decoded with joint typicality decoder.

brain-tumor-classification

btech-thesis-cogsci_nlp

cal

Codebase for TMLR paper on Continual Active Learning

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cloud-storage

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

computation-thru-dynamics

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

covid_literature

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

critical-temperature-prediction

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

defense-against-adversarial-arts

dropnet

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

fan_vs_rnn

The Importance of Being Recurrent for Modeling Hierarchical Structure

ffcv-imagenet

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

fm-modulated-radar

This repository contains a method to develop a RADAR system to detect the flying objects using the FM modulation technique.

gerryfair

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

gmm-torch

Gaussian mixture models in PyTorch.

google-research

Google AI Research

kuzushiji-mnist

A Deep Convolutional Neural Networks based classifier to classify old Japanese script.

machine-learning-assignment3

master-template

Template and style files for ICLR

ml-classifiers

All general Machine Learning Classifiers

multitask

Code for Task representations in neural networks trained to perform many cognitive tasks

natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

neural_networks

This contains the implementation on numpy for standard vanilla neural networks with many functionalities including batch norm, dropout and L1 and L2 regluarisers. Available activations - Relu, Softmax, Sigmoid.