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
PyTorch Implementation of InfoGAN
A software solution to extract structured information from résumés using conditional random fields.
Mainly on text documents. Implemented a Mini Search Engine using different algorithms and then summaried documents using lexrank.
Time extraction from Legal Documents (agreements).
Automatically performs common NLP techniques
Extract structured data from ingredient phrases using conditional random fields
TACL 2017
Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Two Jointly Predictive Models for Word Representations and Phrase Representations (AAAI 2016)
Repo for Insight AI 2017c Fellowship in Silicon Valley: classifying chatbot utterances
Kaggle | Instacart Market Basket Analysis🥕🥉
Instagram clone made with Django framework.
[ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch (https://arxiv.org/abs/1708.02551)
OpenData in insurance area for Machine Learning Tasks
Combination of DeepLIFT and Integrated Gradients.
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
Attributing predictions made by the Inception network using the Integrated Gradients method
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
Intent-aware Query-obfuscation for Privacy Protection in Personalized Web Search
Code for ICRA2018 - Intent-aware Multi-agent Reinforcement Learning.
Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Deep learning software for colorizing black and white images with a few clicks.
Following are the important papers that I need to read.
Coding tasks for PFN internship
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.