pranshubhatnagar's Stars
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
jachang820/mit6.419x-caviar-graphing
Stylish adjacency matrix graphs
TraceMyers/mitx-stats-notes
Notes for 18.6501x, Fundamentals of Statistics on edX
mementum/backtrader
Python Backtesting library for trading strategies
TrainingByPackt/Big-Data-Analysis-with-Python-eLearning
Combine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
eleanormurray/causalgraphs_latex
Drawing graphical models for causal inference using LaTeX
souravstat/Curated-Resources
enaqx/awesome-react
A collection of awesome things regarding React ecosystem
MattKovtun/TensorFlowJSClientSidePrediction
An example of a client side prediction made with TensorFlowJS
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Auquan/Tutorials
Ipython notebooks for math and finance tutorials
johnmyleswhite/SimpleAintEasy
A compendium of the pitfalls and problems that arise when using standard statistical methods
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 ;)
leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
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.
ujjwalkarn/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
budhiraja/Math-for-MachineLearning
A repository containing essential math courses for machine learning aspirants!
datasciencemasters/go
The Open Source Data Science Masters
thalesians/scthalesians
Scala Open Source Financial Library
pramalhe/ConcurrencyFreaks
vacationlabs/haskell-webapps
Proof-of-concept code for a typical webapp implemented in various Haskell libraries/frameworks
jiahao/ijulia-notebooks-assorted
Assorted IJulia notebooks in various stages of usefulness for public consumption.
shashi/ijulia-notebooks
Interesting IJulia notebooks
khibino/haskell-relational-record
This repository includes a joined query generator based on typefull relational algebra, and mapping tools between SQL values list and Haskell record type.
Verizon/quiver
A reasonable library for modeling multi-graphs in Scala
milessabin/shapeless
Generic programming for Scala
typelevel/algebra
Experimental project to lay out basic algebra type classes
typelevel/cats
Lightweight, modular, and extensible library for functional programming.