Vishaal Udandarao (vishaal27)

vishaal27

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Company:University of Tübingen | University of Cambridge

Location:Tübingen, Germany

Home Page:https://vishaal27.github.io/

Twitter:@vishaal_urao

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Vishaal Udandarao's starred repositories

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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cs131_notes

Class notes for CS 131.

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Memeify

Code and Dataset for Memeify: A Large-scale Meme Generation System

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align_uniform

Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020

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PyContrast

PyTorch implementation of Contrastive Learning methods

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multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

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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.

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SketchyGAN

Code for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"

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the-gan-zoo

A list of all named GANs!

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o-gan

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

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mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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Target-Tracking-Simulator

Urban Environment Simulator Code for Testing your Target Tracking Algorithms.

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Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

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cobra

Code for COBRA: Contrastive Bi-Modal Representation Algorithm (https://arxiv.org/abs/2005.03687)

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grammar_variational_autoencoder

pytorch implementation of grammar variational autoencoder

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plan2vec

Public Release of Plan2vec Implementation in pyTorch

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DL-Models

Standard Deep Learning Models implemented in pytorch framework

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imgaug

Image augmentation for machine learning experiments.

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SDML

Scalable deep multimodal learning for cross-modal retrieval (SIGIR 2019, PyTorch Code)

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KDEpy

Kernel Density Estimation in Python

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GDL_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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Generative-Deep-Learning-Code-in-Pytorch

The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

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BMSG-GAN

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

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