rohan-singh's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
keras-team/keras
Deep Learning for humans
socketio/socket.io
Realtime application framework (Node.JS server)
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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.
CamDavidsonPilon/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 ;)
datasciencemasters/go
The Open Source Data Science Masters
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
kjw0612/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
angrave/SystemProgramming
Angrave's Crowd-Sourced System Programming Book used at UIUC
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
MattPD/cpplinks
A categorized list of C++ resources.
zeux/pugixml
Light-weight, simple and fast XML parser for C++ with XPath support
johnmyleswhite/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
ujjwalkarn/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
andersbll/deeppy
Deep learning in Python
pluskid/Mocha.jl
Deep Learning framework for Julia
ipython-books/cookbook-code
[DEPRECATED] See the new edition:
Wilfred/babyc
A toy C compiler
ledell/useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
kaisellgren/Concurrency-concepts
A guide to concurrency, multi-threading and parallel programming concepts. Explains the differences between every concept, their advantages and disadvantages in detail.
datalad-datasets/machinelearning-books
Collection of great (and free) machine learning books
nasa-airport/airport-simulation
Airport Surface Simulator and Evaluation Tool 2