ananyahjha93

cycle-consistent-vae

This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.

multi-level-vae

This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.

disentangling-factors-of-variation-using-adversarial-training

This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.

libself

PyTorch Lightning based framework to run experiments for self-supervised learning tasks.

challenges-in-disentangling

This repository contains a pytorch implementation for the paper: Challenges in Disentangling Independent Factors of Variation (https://arxiv.org/abs/1711.02245), which was accepted at ICLR 2018's workshop track.

lightning-perceiver

pytorch lightning base implementation of perceiver and perceiver io

Getting-and-Cleaning-Data-Project

Pitch-for-Weather-App

Practical-Machine-Learning

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

weatherAnomalyApp

aavae

ananyahjha93

ananyahjha93.github.io

bayes-nn

Lecture notes on Bayesian deep learning

benchmarks

Fast and flexible reference benchmarks

composer

Train neural networks up to 7x faster

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representation.

ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

llm-distill

MNIST-for-Numpy

A simple, easy to use MNIST loader written in Python 3

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-pretrained-BERT

The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

RepData_PeerAssessment1

Peer Assessment 1 for Reproducible Research

stochastic-autoencoders

teacher-free-task-agnostic-llm-distillation