Pinned Repositories
2016-dataviscourse-homework
Homework material for 2016 Data visualization course.
action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
ML
Notes, Code & Projects on Machine Learning
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
xgboost
Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.
mathkann's Repositories
mathkann/2016-dataviscourse-homework
Homework material for 2016 Data visualization course.
mathkann/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
mathkann/cs181-lectures
mathkann/cs181-s17-homeworks
mathkann/cs224n-winter17-notes
Course notes for CS224N Winter17
mathkann/data-science-ipython-notebooks
Continually updated 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.
mathkann/egghead-d3v4
Code examples for the D3 v4 course on egghead.io
mathkann/enlighten-apply
Example code and materials that illustrate applications of SAS machine learning techniques.
mathkann/heamy
A set of useful tools for competitive data science.
mathkann/hello-scrollytelling
A bare-bones version of the scrollytelling framework used in the Algorithms Tour
mathkann/interactive-coding-challenges
Continually updated, interactive, test-driven Python coding interview challenges (algorithms and data structures).
mathkann/kaggle-Facebook-V
Second place solution for Facebook V competition on Kaggle
mathkann/latexcv
A collection of cv and resume templates written in LaTex
mathkann/leap-day
Leap day is a Jekyll theme for GitHub Pages
mathkann/live-coding-pandas-lda
A live coding demonstration starting with of a basic example centered around Pandas followed by a more advanced example using topic modeling and subsequent visualization
mathkann/makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
mathkann/MLAlgorithms
Minimal and clean examples of machine learning algorithms
mathkann/numpy_exercises
Numpy exercises.
mathkann/oceanic-next-italic
Color scheme for VS Code, Sublime Text and Atom
mathkann/papers
Collection of papers
mathkann/Practical_RL
A course in reinforcement learning in the wild
mathkann/probabilistic-programming-intro
mathkann/Project_Plotline
Capstone project for Galvanize - Data Science Immersive. 'Project Plotline' looks at the emotional content of movie scripts (web scraping, NLP, dynamic programming, clustering, data visualization)
mathkann/raw
The missing link between spreadsheets and data visualization
mathkann/restaurant2recipe
Capstone project for Galvanize Data Science Immersive
mathkann/sicp-pdf
SICP PDF with Texinfo and LaTeX source
mathkann/stat212b
Topics Course on Deep Learning UC Berkeley
mathkann/stats-shortcourse
The statistics short course is both a resource and survey of the areas of probability and statistics that are foundational for the data science immersive at Galvanize.
mathkann/Surprise
A Python recommender system library aimed towards researchers, teachers and students.
mathkann/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.