Sarthak Chakraborty (sarthak-chakraborty)

sarthak-chakraborty

Geek Repo

Company:Univeristy of Illinois Urbana-Champaign

Location:Kolkata, West Bengal, India

Home Page:sarthak-chakraborty.github.io

Twitter:@sarthak0407

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Sarthak Chakraborty's starred repositories

tmux

tmux source code

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google-research

Google Research

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solidity

Solidity, the Smart Contract Programming Language

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fabric

Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

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yapf

A formatter for Python files

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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latexify_py

A library to generate LaTeX expression from Python code.

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kafdrop

Kafka Web UI

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flower

Flower: A Friendly Federated Learning Framework

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cityscapesScripts

README and scripts for the Cityscapes Dataset

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kafka-monitor

Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statistics - E2E latency, service produce/consume availability, offsets commit availability & latency, message loss rate and more.

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semantic-segmentation

Nvidia Semantic Segmentation monorepo

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training

Reference implementations of MLPerf™ training benchmarks

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keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

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cothority

Scalable collective authority

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One-Hundred-Layers-Tiramisu

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

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Keras-segmentation-deeplab-v3.1

An awesome semantic segmentation model that runs in real time

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UNet-Segmentation-in-Keras-TensorFlow

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

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fmtl

Federated Multi-Task Learning

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Multiclass-Semantic-Segmentation-CamVid

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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NSM

Neural State Machine implemented in PyTorch

soft_patterns

Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and Noah A. Smith, ACL 2018

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ExOS

Exokernel for the consumer

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SR360

Enhancing the video quality using super resolution and deep neural networks

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RTree

N-dimensional RTree implementation in C

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MixMatch-Semi-Supervised-Learning

A Pytorch implementation of the MixMatch algorithm developed by google-research.

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pyschedcl

A Python Based OpenCL Scheduling Framework

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