Pinned Repositories
AmazingTransferLearning
Transfer Learning, Domain Adaptation
answer-selection
LSTM-based model for answer selection
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
DeepPavlov
An open source library for building end-to-end dialog systems and training chatbots.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
Paddle
PArallel Distributed Deep LEarning
tutorials
satadru5's Repositories
satadru5/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
satadru5/CFO
Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
satadru5/deep-text-corrector
Deep learning models trained to correct input errors in short, message-like text
satadru5/Dynamic-memory-networks-in-Theano
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
satadru5/ensemble_amazon
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition
satadru5/greedyFeatureSelection
greedy feature selection based on ROC AUC
satadru5/hyperopt
tuning hyper-parameter
satadru5/kaggle-allstate-solution
My solution of Kaggle competition - Allstate Claims Severity
satadru5/kaggle-burn-cpu
Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
satadru5/kaggle-regression
A compiled list of kaggle competitions and their winning solutions for regression problems.
satadru5/kaggle-walmart-sales-forecasting
See competiton description at https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting
satadru5/KAGGLE_CERVICAL_CANCER_2017
satadru5/KAGGLE_DISTRACTED_DRIVER
Solutions
satadru5/Kaggle_HomeDepot
Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)
satadru5/keras-attention-mechanism
Attention mechanism Implementation for Keras.
satadru5/lectures
Oxford Deep NLP 2017 course
satadru5/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
satadru5/March-Madness-2017
Kaggle Competition for Predicting NCAA Basketball Tourney Games
satadru5/neural-network-from-scratch
Implementing Multiple Layer Neural Network from Scratch
satadru5/py_ml_utils
Some small utility modules to help with pandas, numpy and sklearn usage in other projects
satadru5/QA_Bot
Keras implementation of the Smart Reply[1] Google system paper.
satadru5/quora-clone
Quora clone built in Django
satadru5/rnn-from-scratch
Implementing Recurrent Neural Network from Scratch
satadru5/rnn-tutorial-gru-lstm
Language Model GRU with Python and Theano
satadru5/Surge-Forecast-with-RNN
Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the future.
satadru5/taxi
Winning entry to the Kaggle taxi competition
satadru5/Tensorflow_ML_Algorithms
Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression
satadru5/traffic-prediction
Traffic Prediction using LSTM method.
satadru5/traffic-prediction-1
Predict traffic flow with LSTM