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Name: Aniket Das
Type: User
Bio: Electrical Engineering Sophomore, IIT Kanpur.
Location: Kanpur, Uttar Pradesh, India
Name: Aniket Das
Type: User
Bio: Electrical Engineering Sophomore, IIT Kanpur.
Location: Kanpur, Uttar Pradesh, India
Easily create a beautiful website using Academic and Hugo
Experiments with Adversarial Autoencoder by Makhzani et. al.
A simple and elegant Jekyll theme for an academic personal homepage
Pytorch implementation of Augmented Neural ODEs :sunflower:
PyTorch Implementation of Autoencoding Beyond Pixels Using A Learned Similarity Metric
A curated list to learn about distributed systems
Chicago undergraduate mathematics bibliography
A legal assistant which can summarise any form of a legal document and answer specific queries regarding the document
Experiments created as part of Summer'18 Cognitive Science Project under Prof. Nisheeth Srivastava
Implementation of stochastic variational inference for differentially deep gaussian processes
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
disentanglement_lib is an open-source library for research on learning disentangled representations.
Neural network architectures that I've implemented.
Relax! Flux is the ML library that doesn't make you tensor
Experiments and benchmarks on various approaches to GAN training
starter from "How to Train a GAN?" at NIPS2016
A complete computer science study plan to become a software engineer.
MoCoGAN: Decomposing Motion and Content for Video Generation
Code written during the Programming Club Summer Project "Attention Based Models for Image Captioning"
Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.
PyTorch implementations of algorithms for density estimation
Bayesian Filtering for Stochastic Differential Equation based State Space Models: Course Project for "Nonlinear Filtering and Parameter Estimation"
Sprites video data used in the ICML 2018 paper
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Library for training and evaluation of Generative Adversarial Networks in PyTorch
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
Video classification tools using 3D ResNet
My Vim Configuration
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.