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Name: Ayush Kumar
Type: User
Company: IIT Patna
Bio: Machine Learning Scientist, Worked on Episodic Memory, Worked on Sentiment Analysis
Location: Bangalore, India
Name: Ayush Kumar
Type: User
Company: IIT Patna
Bio: Machine Learning Scientist, Worked on Episodic Memory, Worked on Sentiment Analysis
Location: Bangalore, India
Autoencoder and visualization for MNIST
The most cited deep learning papers
A curated list of references for MLOps
Recurrent Neural Network - A curated list of resources dedicated to RNN
multilabel classification of EHR notes
Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
Deep-Attention Text Classifier in Tensorflow
Hardware-accelerated deep learning and linear algebra (NumPy) library for the web.
Please use these examples based on deeplearning4j 0.4.* release.
A meta-learning setup to utitlize the unlabeled data for target task. An implementation of "Learning to learn from weak supervision by full supervision". https://arxiv.org/abs/1711.11383
Linear Regression in Python
Classical equations and diagrams in machine learning
machine learning and deep learning tutorials, articles and other resources
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
Train, evaluate and deploy Deep Learning based text classifiers. Currently supports CNN
This is a dataset of the all-time top 1,000 posts, from the top 2,500 subreddits by subscribers, pulled from reddit between August 15–20, 2013.
scikit-learn: machine learning in Python
SemEval ABSA 2016
Sentiment classification system.
A deep learning framework to selection next response for current input utterance conditioned on previous contexts.
TensorFlow tutorials and code examples for beginners
This set of files is an example of how to use Tensorflow for importing and retraining an existing model, such as ResNet. The goal of this example is to separate all functionality on several classes, so it is easy to modify the parameters and run the models, while still having all code not too deep inside.
Python package to extract significant keywords.
This repository contains script for VGG model in tensorflow.
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
A list of popular github projects related to deep learning
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.