shantanuj Goto Github PK
Name: Shan
Type: User
Location: Singapore
Name: Shan
Type: User
Location: Singapore
API for Tensorflow model in Flask
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
fast.ai Courses
Repo for the Deep Learning Nanodegree Foundations program.
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Reading Wikipedia to Answer Open-Domain Questions
Framework to detect and analyze fake news
Library for fast text representation and classification.
Domain adaptation techniques for fine grained sentiment extraction models (in TensorFlow)
Experiments in fine grained opinion and aspect extraction. Domain adaptation techniques included.
Analysis and datasets about football (soccer)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Obtain and process tweets from given handle to only include conversation tweets
Official pytorch code for paper "What do CNNs gain by imitating the visual development of primate infants?"
📝 quickly crawl the information (e.g. followers, tags etc...) of an instagram profile.
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Java util to generate survey questions for kindtype mturk HIT
We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the underlying algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using Q-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by Q-learning.
Aspect Based Sentiment Analysis using End-to-End Memory Networks
OOP neuron focused neural networks (bare bone numpy implementation)
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.