Sarthak Chakraborty's starred repositories
google-research
Google Research
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.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
latexify_py
A library to generate LaTeX expression from Python code.
awesome-ai-residency
List of AI Residency Programs
cityscapesScripts
README and scripts for the Cityscapes Dataset
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.
semantic-segmentation
Nvidia Semantic Segmentation monorepo
keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
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)
Keras-segmentation-deeplab-v3.1
An awesome semantic segmentation model that runs in real time
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.
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.
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
MixMatch-Semi-Supervised-Learning
A Pytorch implementation of the MixMatch algorithm developed by google-research.