Vivien's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
recommenders
Best Practices on Recommendation Systems
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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 ;)
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
scikit-learn
scikit-learn: machine learning in Python
Online-Courses-Learning
Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.
awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
gatsby-portfolio
A template for portolio pages
Generative-Art
A selection of generative art scripts written in Python
sand-spline
generative algorithm