ServehSh's Stars
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
yanshengjia/ml-road
Machine Learning Resources, Practice and Research
google-deepmind/acme
A library of reinforcement learning components and agents
ivan-bilan/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
ucla-rlcourse/RLexample
Some basic examples of playing with RL
PracticalTimeSeriesAnalysis/BookRepo
mdipietro09/DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence use-cases
PacktPublishing/Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
srivatsan88/End-to-End-Time-Series
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
cmawer/pycon-2017-eda-tutorial
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
ThinamXx/66Days__NaturalLanguageProcessing
I am sharing my Journey of 66DaysofData in Natural Language Processing.
krishnaik06/Gaussian-Trnasformaion
computationalcore/introduction-to-python
A very useful collection of Jupyter Notebooks, which aims to introduce the Python programming language.
francescodisalvo05/66DaysOfData
#66DaysOfData challenge in Financial Machine Learning and NLP
vumaasha/rl_handson
Reinforcement Learning Hands on Exercises
priyadarshi0007/TimeSeries-AIEngineering
This is a repo for all the time series related notebook for AIENgineering
ServehSh/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.