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Machine Learning
scikit-learn: machine learning in Python
All the source codes and lectures of reinforcement learning.
This introduces a suggestion of mathematical notation protocol for machine learning.
Transforms and pipelines with tabular data in Julia
Learning to Learn in TensorFlow
Implementation of Meta-Learning with Latent Embedding Optimization
Free MLOps course from DataTalks.Club
Build machine learning models in R like using python's scikit-learn library
Python code for "Probabilistic Machine learning" book by Kevin Murphy
🧮 A collection of resources to learn mathematics for machine learning
Companion webpage to the book "Mathematics For Machine Learning"
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Demo of a scoring engine. From data wrangling to model serving on docker
Flax is a neural network library for JAX that is designed for flexibility.
Pen and paper exercises in machine learning
modelDown generates a website with HTML summaries for predictive models
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
The fastai book, published as Jupyter Notebooks
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
An open-source, low-code machine learning library in Python
PDEBench: An Extensive Benchmark for Scientific Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Compilation of high-profile real-world examples of failed machine learning projects