Saurabh Dash (saurabhdash)

saurabhdash

Geek Repo

Company:Georgia Tech

Location:Atlanta

Home Page:saurabhdash.com

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Saurabh Dash's repositories

GCN_Partitioning

Graph Partitoning Using Graph Convolutional Networks

deeplearning-essentials

This repository contains an explanation of the basic structure of code required to build, train and test deep learning models in pytorch.

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tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

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bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

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browserpilot

Natural language browser automation

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cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

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DeepGenerativeModels-GANandWGAN

GAN and WGAN experiments on MNIST and CelebA (Written for ECE6254 Final Project)

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dropbox-backup-tool

tar and upload to dropbox for backup

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ECMLDeepAudio

Documented code with instructions to reproduce results of paper submitted to ECML

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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gitignore

A collection of useful .gitignore templates

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hawkes

Python class for generation and parameter estimation of multivariate Hawkes processes

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how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

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learnable_fourier_positional_encoding

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

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marlin

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

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matchbox

Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.

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old.saurabhdash.github.io

A beautiful Jekyll theme for academics

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pysc2

StarCraft II Learning Environment

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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pytorch-MNIST-CelebA-GAN-DCGAN

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

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pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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tgn

TGN: Temporal Graph Networks

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the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

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Transformer-Hawkes-Process

Code for Transformer Hawkes Process, ICML 2020.

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