Pinned Repositories
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.
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.
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.
Getting-and-Cleaning-Data-Project
libself
PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
lightning-perceiver
pytorch lightning base implementation of perceiver and perceiver io
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.
Pitch-for-Weather-App
Practical-Machine-Learning
torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
ananyahjha93's Repositories
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.
ananyahjha93/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.
ananyahjha93/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.
ananyahjha93/libself
PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
ananyahjha93/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.
ananyahjha93/lightning-perceiver
pytorch lightning base implementation of perceiver and perceiver io
ananyahjha93/Getting-and-Cleaning-Data-Project
ananyahjha93/Pitch-for-Weather-App
ananyahjha93/Practical-Machine-Learning
ananyahjha93/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
ananyahjha93/weatherAnomalyApp
ananyahjha93/aavae
ananyahjha93/ananyahjha93
ananyahjha93/ananyahjha93.github.io
ananyahjha93/bayes-nn
Lecture notes on Bayesian deep learning
ananyahjha93/benchmarks
Fast and flexible reference benchmarks
ananyahjha93/composer
Train neural networks up to 7x faster
ananyahjha93/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
ananyahjha93/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representation.
ananyahjha93/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
ananyahjha93/llm-distill
ananyahjha93/MNIST-for-Numpy
A simple, easy to use MNIST loader written in Python 3
ananyahjha93/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 ;)
ananyahjha93/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
ananyahjha93/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
ananyahjha93/pytorch-pretrained-BERT
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
ananyahjha93/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
ananyahjha93/stochastic-autoencoders
ananyahjha93/teacher-free-task-agnostic-llm-distillation