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
Keras implementation of the dynamic memory networks from https://arxiv.org/pdf/1603.01417.pdf
[WACV 2021] Dynamic Plane Convolutional Occupancy Networks
an implementation of Pointer Network using tensorflow
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Adaptive Large Neighborhood Search, Periodic and Continuous Insertion Heuristics for Dynamic Workforce Routing and Scheduling Problem with Geographically Distributed Orders with Precedence Relations and Multi_skill Requirements
A Compositional Object-Based Approach to Learning Physical Dynamics
Official implementation of DynE, Dynamics-aware Embeddings for RL
Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016
Contains various short notebooks showing how to use DyNet. Created for CS 5740 at Cornell University.
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Nice and clean Online Shop app UI by using #Flutter.
Solver for the Electric Vehicle Routing Problem with Time Windows
End-to-end Neural Coreference Resolution
Code for paper "Image Caption Generation with Text-Conditional Semantic Attention"
Code accompanying End-to-End Information Extraction without Token-Level Supervision
Task-based end-to-end model learning
E2E NLG Challenge submission
Attention LSTM for word labeling
Implementation of Edge Attention based Multi-relational Graph Convolutional Networks
Efficient Architecture Search by Network Transformation
Over 400 software engineering companies that are easy to apply to
Keras tutorial for beginners (using TF backend)
Simple and comprehensive tutorials in TensorFlow
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
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.