machinesarelearning Goto Github PK

code_snippets_corey_schafer

data-analysis

Data Analysis Using Python

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.

data-science-wg

SF Brigade's Data Science Working Group.

deep-generative-models

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deepreinforcement

deepreinforcement-collaboration-n-competition

deepreinforcement-continious-control

deepreinforement-navigation

Repo for the Deep Reinforcement Learning Nanodegree program by Udacity

deeprl-continuous-control

Learning Continuous Control in Deep Reinforcement Learning

entirety-codes

Hypothesis Testing 01 - Straddle

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

first-contributions

🚀✨ Help beginners to contribute to open source projects

forex_algotrading

My Forex algotrading platform in Python - based on my posts at http://jon.io

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kite-python-blog-post-code

Code snippets from Kite blog posts

largelanguagemodelsprojects

Large Language Model Projects

machine-learning-asset-management

Machine Learning in Asset Management

machine-learning-course

:speech_balloon: Machine Learning Course with Python

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

market_profile

How to make simple market profile charts in seaborn.

ml-interview

Preparing for machine learning interviews

ml-workspace

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

nlp-textsummary

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nse_trader

A basic implementation to download historic prices, apply a strategy, and see the strategy performance vis-a-vis the actual stock prices.

pykiteconnect

The official Python client library for the Kite Connect trading APIs