Ayush Kumar's repositories
nlp-phd-global-equality
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
awesome-mlops
A curated list of references for MLOps
CS-7641-Machine-Learning-Notes
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
caml-mimic
multilabel classification of EHR notes
deep-attention-text-classifier-tf
Deep-Attention Text Classifier in Tensorflow
unsupervised-aspect-extraction
An unsupervised method to extract aspects from customer reviews.
autoencoder
Autoencoder and visualization for MNIST
utility-codes
Repository for common and utility codes.
learn-by-weak-supervision
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
tf-idf
Python package to extract significant keywords.
sequential-match-network
A deep learning framework to selection next response for current input utterance conditioned on previous contexts.
deeplearnjs
Hardware-accelerated deep learning and linear algebra (NumPy) library for the web.
linear-regression
Linear Regression in Python
tf-vgg
This repository contains script for VGG model in tensorflow.
awesome-deep-learning-papers
The most cited deep learning papers
reddit-top-2.5-million
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.
TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
tensorflow-worklab
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.
ConvNet
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'.
TopDeepLearning
A list of popular github projects related to deep learning
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
SemEval
SemEval ABSA 2016
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
optimus
Train, evaluate and deploy Deep Learning based text classifiers. Currently supports CNN
Theano
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.
scikit-learn
scikit-learn: machine learning in Python