LenaKC's starred repositories
learnopencv
Learn OpenCV : C++ and Python Examples
Big-Data-Engineering-Coursera-Yandex
Big Data for Data Engineers Coursera Specialization from Yandex
deep-learning-book
:book: MIT Deep Learning Book in PDF format
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
cnn-assignments
Convolutional Neural Networks Assignments
cs231n.github.io
Public facing notes page
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
ml_workshop_udacity
ML Workshops @ Udacity
data-engineering-ecosystem
Repo to migrate old wiki to, esp for devs and code examples
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
machine-learning
Content for Udacity's Machine Learning curriculum
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
system-design-interview
System design interview for IT companies
artmosphere
Data Engineering Project at Insight
DeepLearningMovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
asyncio-examples
A few examples of how to use asyncio
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
sklearn_tutorial
Materials for my scikit-learn tutorial
DataPipeline
Real time stock data pipeline --play with Kafka, Cassandra, Spark, Redis, Node.js, Zookeeper
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Yelp-data-analysis-and-recommender-system
Design MR Java program to load data into Hadoop. Clean data using Pig. Interact with data by Hive, and build recommender system by collaborative filtering