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
Natural Language Processing with Python Cookbook, published by Packt
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
Scraping Data Scientist Jobs
Code for Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions (Artzi and Zettlemoyer, TACL 2013)
Navigation data used for Chen and Mooney 2011 and Artzi and Zettlemoyer 2013 (including cleaned up oracle data)
Neural Code Comprehension: A Learnable Representation of Code Semantics
Neural Shift Reduce Parser for CCG Semantic Parsing (Misra and Artzi, EMNLP 2016)
Optimized primitives for collective multi-GPU communication
NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)
A repository for Neural Document Ranking Models.
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
Implementation of Neural Episodic Control in Tensorflow
Experimental, general purpose, framework for the practical application of deep learning, utilising MongoDb, TensorFlow, Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs)
This repository contains the data used for the paper "Entity Recognition at First Sight: Improving NER with Eye Movement Information" by Nora Hollenstein & Ce Zhang (accepted at NAACL 2019)
BERT-NER (nert-bert) with google bert https://github.com/google-research.
CRF to detect named entities (primarily names of people)
LSTM+CRF NER
NER with Deep contextualized word representations (Elmo)
Keras implementation of Nested LSTMs
Nested Tabs Demonstration
IPFS implementation in .Net
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
Neural network recommendation models in PyTorch
Viewer for neural network models
Welcome to the Academy of Arts
Repository for the implementation of a solution to the Network Design Problem for a modified Two Echelon Vehicle Routing Problem
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.