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Name: Ananya Harsh Jha
Type: User
Name: Ananya Harsh Jha
Type: User
Lecture notes on Bayesian deep learning
Fast and flexible reference benchmarks
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.
Train neural networks up to 7x faster
A basic configuration builder taken from OLMo codebase.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
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.
Modeling, training, eval, and inference code for OLMo
disentanglement_lib is an open-source library for research on learning disentangled representation.
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.
Plotting Assignment 1 for Exploratory Data Analysis
PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
pytorch lightning base implementation of perceiver and perceiver io
A simple, easy to use MNIST loader written in Python 3
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.
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 ;)
Repository for Programming Assignment 2 for R Programming on Coursera
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Peer Assessment 1 for Reproducible Research
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.