harshitw
Programmer | Engineer | Experimenter TechStack - Java, Golang, Python, Typescript, Javascript
Indian Institute of Technology, Kanpur
Pinned Repositories
artificial-intelligence
blockchainBeta
Engineered and build generic blockchain in golang from scratch.
Convolutional_autoencoder
An autoencoder is used for data, image compression and also image denoising. The architecture of neural network is such that the input and output layer is same. We want the hidden layer to learn the representations of the compressed input images. Although their applications are mostly used in image denoising.
CraterKart
Ecommerce microservices based application written using Java springboot using distributed system features like api gateway, authentication/authorization, distributed tracing, centralized logging, metrics monitoring and others.
crypto-exchange
A centralized crypto currency exchange with orderbook, matching algorithms and engine, setting up private ethereum blockchain with gnash, place market and limit orders, connected everything together with json api server to place order and trade tokens.
filestore
A fully distributed and decentralized content addressable file storage (CAS) application using Golang with TCP transport communication.
Forward-Planning-Agent
Implementing and analyzing an agent that performs progression search for planning problems.
Hidden-Markov-Model_Speech-Tagger
Part of Speech Tagging using Hidden Markov Models.
horizon
A complete production ready, feature rich weather news application build using Next.js
Quadcopter-project-
Applied Reinforcement Learning to train a quadcopter agent to hover, take off and fly.
harshitw's Repositories
harshitw/Convolutional_autoencoder
An autoencoder is used for data, image compression and also image denoising. The architecture of neural network is such that the input and output layer is same. We want the hidden layer to learn the representations of the compressed input images. Although their applications are mostly used in image denoising.
harshitw/monte-carlo-methods
Class of reinforcement learning algorithms that does not have any knowledge of one step dynamics of environment. Agent figures out the optimal policy by interacting with environment.
harshitw/Small-World-in-Wireless-Sensor-Networks
Small World if introduced in the wireless sensor networks, can significantly improve the network properties like average path length reduction
harshitw/document-scanner
harshitw/Face-detection
harshitw/Book-cover-identification
harshitw/motion-detection
harshitw/object-detector
harshitw/Eye-detection
harshitw/How-to-Deploy-a-Tensorflow-Model-in-Production
This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube