DanKomorny

DanKomorny's Stars

• rushter/data-science-blogs

  A curated list of data science blogs

  Language:Python6.3k1.8k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  25.5k6k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.6k18k

• openai/retro

  Retro Games in Gym

  Language:C3.4k532

• SerpentAI/SerpentAI

  Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

  Language:Python6.8k790

• karpathy/neuraltalk2

  Efficient Image Captioning code in Torch, runs on GPU

  Language:Jupyter Notebook5.5k1.3k

• karpathy/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python9835

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.5k15.3k

• amueller/introduction_to_ml_with_python

  Notebooks and code for the book "Introduction to Machine Learning with Python"

  Language:Jupyter Notebook7.5k4.6k

• dive-into-machine-learning/dive-into-machine-learning

  Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

  11.3k1.9k

• donnemartin/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.

  Language:Python27.7k7.9k

• rasbt/pattern_classification

  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

  Language:Jupyter Notebook4.2k1.3k

• numenta/nupic-legacy

  Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

  Language:Python6.3k1.6k

• ogrisel/notebooks

  Some sample IPython notebooks for scikit-learn

  Language:Jupyter Notebook565203

• sepandhaghighi/pycm

  Multi-class confusion matrix library in Python

  Language:Python1.5k126

• reiinakano/scikit-plot

  An intuitive library to add plotting functionality to scikit-learn objects.

  Language:Python2.4k287

• apache/superset

  Apache Superset is a Data Visualization and Data Exploration Platform

  Language:TypeScript63.7k14.2k

• rewonc/pastalog

  Simple, realtime visualization of neural network training performance.

  Language:JavaScript42045

• blaze/blaze

  NumPy and Pandas interface to Big Data

  Language:Python3.2k392

• bqplot/bqplot

  Plotting library for IPython/Jupyter notebooks

  Language:TypeScript3.6k465

• bokeh/bokeh

  Interactive Data Visualization in the browser, from Python

  Language:TypeScript19.5k4.2k

• networkx/networkx

  Network Analysis in Python

  Language:Python15.3k3.3k

• flennerhag/mlens

  ML-Ensemble – high performance ensemble learning

  Language:Python848109

• aksnzhy/xlearn

  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

  Language:C++3.1k519

• apple/turicreate

  Turi Create simplifies the development of custom machine learning models.

  Language:C++11.2k1.1k

• cogitare-ai/cogitare

  🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python

  Language:Python7711

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8.2k1.2k

• blei-lab/edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  Language:Jupyter Notebook4.8k758

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.2k4.6k

• tflearn/tflearn

  Deep learning library featuring a higher-level API for TensorFlow.

  Language:Python9.6k2.4k