kaushalshetty

A-Guide-to-Deep-Learning

A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/

FeatureSelectionGA

Feature Selection using Genetic Algorithm (DEAP Framework)

Machine-Comprehension

A simple implementation of DrQA neural network architecture for machine comprehension

mongo-elasticsearch-connector

MongoDB Elasticsearch Connector

Positional-Encoding

Encoding position with the word embeddings.

Preprocessing

Text Preprocessing

SMOTE

Synthetic Minority Over-sampling Technique

Stacking

Multiple Model Ensembling

Structured-Self-Attention

A Structured Self-attentive Sentence Embedding

kaushalshetty/Structured-Self-Attention

A Structured Self-attentive Sentence Embedding

kaushalshetty/FeatureSelectionGA

Feature Selection using Genetic Algorithm (DEAP Framework)

kaushalshetty/Positional-Encoding

Encoding position with the word embeddings.

kaushalshetty/SMOTE

Synthetic Minority Over-sampling Technique

kaushalshetty/Stacking

Multiple Model Ensembling

kaushalshetty/Preprocessing

Text Preprocessing

kaushalshetty/Machine-Comprehension

A simple implementation of DrQA neural network architecture for machine comprehension

kaushalshetty/mongo-elasticsearch-connector

MongoDB Elasticsearch Connector

kaushalshetty/A-Guide-to-Deep-Learning

A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/

kaushalshetty/courses

fast.ai Courses

kaushalshetty/cs6220

kaushalshetty/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

kaushalshetty/deeplearning-papernotes

Summaries and notes on Deep Learning research papers

kaushalshetty/fastText

Library for fast text representation and classification.

kaushalshetty/Genetic-Algorith

A simple use case of Genetic Algorithm to attain target String starting from random set of strings(DNAs to be specific :) )

kaushalshetty/hw5

kaushalshetty/jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

kaushalshetty/keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kaushalshetty/keras-attention-mechanism

Attention mechanism Implementation for Keras.

kaushalshetty/lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

kaushalshetty/lime

Lime: Explaining the predictions of any machine learning classifier

kaushalshetty/Microsoft-AI-Challenge-2018

Certificate

kaushalshetty/mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

kaushalshetty/practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

kaushalshetty/PyTorch-NLP

Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)

kaushalshetty/question_generation

Neural question generation using transformers

kaushalshetty/sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

kaushalshetty/Tagclouds

kaushalshetty/unbabel

kaushalshetty/understanding-pytorch-batching-lstm

Understanding and visualizing PyTorch Batching with LSTM