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
Extractive Summarization based on statements ranked using TextRank
Codes for paper "Automated Creative Optimization for E-Commerce Advertising"
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Rudimentary automatic differentiation framework
Torch implementations of various types of autoencoders
Generative image model with learned similarity measures
Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Source code for the paper A Memory-Augmented Neural Model for Automated Grading
TensorFlow implementation of Automatic Portrait Segmentation
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Data for Automatic Keyphrase Extraction Task
Scenarios, tutorials and demos for Autonomous Driving
Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"
Deep generative models for semi-supervised learning.
Script to download AVA database from the website (A Large-Scale Database for Aesthetic Visual Analysis)
Trains neural networks to generate new Garfield comics
In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.
Audio-Visual Event Localization in Unconstrained Videos, ECCV 2018
Solution for Avito Duplicate Ads Detection competition
Code for 3D object detection for autonomous driving
Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab
Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images in CVPRW 2020 (Winner of NTIRE Challenge, Oral)
A curated list of papers dedicated to neural text (semantic) matching.
A curated list of awesome lists
A curated list of action recognition and related area resources
Paper list of activity prediction and related area
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.