shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
Notes on Deep Reinforcement Learning for Natural Language Processing papers
An implementation for CVRP problem with A3C+Attention mechanism and GCN
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:
Dropbox Uploader is a BASH script which can be used to upload, download, list or delete files from Dropbox, an online file sharing, synchronization and backup service.
Python + TensorFlow implementation of the DropoutNet model
Python + TensorFlow implementation of the DropoutNet model
Reading Wikipedia to Answer Open-Domain Questions
An implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017
Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"
Kaggle Data Science Bowl 2018
Data structures and algorithms in C#
DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Character CNN model for DSL 2016
Natural language generation for dialogue system
Reimplement DSOD: Learning Deeply Supervised Object Detectors from Scratch. (WIP)
Driving Scene Perception Network
Distributed Streaming Quantiles (for PySpark)
code for "Deeply supervised salient object detection with short connections" published in CVPR 2017
Pytorch implement of Deeply Supervised Salient Object Detection with Short Connection
DSTC7: End-to-End Conversation Modeling: Moving beyond Chitchat
Deep Spatio-Temporal Neural Network (DSTN)
Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
Co-attending Regions and Detections for VQA.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.