zhuorancai's Stars
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
dkhamsing/open-source-ios-apps
:iphone: Collaborative List of Open-Source iOS Apps
serhii-londar/open-source-mac-os-apps
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
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.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
virgili0/Virgilio
Your new Mentor for Data Science E-Learning.
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
jdwittenauer/ipython-notebooks
A collection of IPython notebooks covering various topics.
kaleko/CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
edyoda/data-science-complete-tutorial
For extensive instructor led learning
atinesh-s/Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
m-wrzr/populartimes
AntonioErdeljac/python-tensorflow-google
Notes taken from Google Machine Learning Course provided to public for practice & correction.
shahrviral/Mac-Setup
Buy me a coffee / book / beer
sachin-101/Machine-Learning-by-Andrew-Ng-Implementation-in-Python
To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.
rj425/ML-Coursera
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
KirillShmilovich/MLP-Neural-Network-From-Scratch
Tutorial detailing how to build a multilayer perceptron from scratch
vrishank97/Introduction-to-Machine-Learning
Introductory Course on Machine Learning in Python
e-eight/coursera_ml
Python solutions to Andrew Ng's ML course.
benWindsorCode/stanfordMachineLearning
A set of solutions in Python to Andrew Ng's Stanford Machine Learning '08 course
DDI-Dataset/DDI-Code
ISIC-Research/expert-annotation-agreement-data
EASY (dermoscopy expert annotation) agreement study data
sburns/switchboard
A Flask blueprint for handling REDCap Data Entry Triggers