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kaggle-1

Containing codes of participation in Kaggle competitions.

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

kaggle-telstra

My code for Telstra Network Disruptions Kaggle competition

keras_fastai

A series of machine learning scripts in Jupyter notebooks using Keras & Theano to solve Kaggle challenges, based on fastai

large-arabic-multidomain-lexicon

repository for the project of building large arabic multidomain lexicon for sentiment analysis using feature selection from multiple resources scrapped from the web.

lectures-labs

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

machinelearning

Programming assignments from Andrew Ng's Machine Learning course on Coursera. Translated from Octave to Python. Tools: Numpy, Scikit-learn, Classification, Regression, Neural Networks, Recommenders, etc.

models

Models and examples built with TensorFlow

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

neural-nets-101

Just playing around with basic neural net stuff, with a brief sojourn into deep learning via RBMs

nturgb-d

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

nueral-net-octave

opencv

Open Source Computer Vision Library

opencv2-python-tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

orapradeep.github.io

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

palm_data

pandas-head-to-tail

pandas_for_everyone

Repository to accompany "Pandas for Everyone"

pcv

Open source Python module for computer vision

pipeline

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

promotional-sources

Promotional Sources Template

pyp-w2-gw-linked-list

Group Project - Linked list

python-learning

quora-question-pairs

Used training data which involves sets of questions and information whether they are duplicates or not. Applied Natural Language processing methods on the text data and used methods like TF-IDF, Semantic Similarity for feature extraction & Ensemble methods(XGBoosting) for classification. Accuracy on the test data is found using log loss.

realtime-action-detection

This repository host the code for real-time action detection paper

self-learning-taxi

sentiment-analysis

Repository for Sentiment analysis Research code

sideprojects

simple-neural-network

A simple Python script showing how the backpropagation algorithm works.