12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
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.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A High-Quality Real Time Upscaler for Anime Video
Turns Data and AI algorithms into production-ready web applications in no time.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
FinRL®: Financial Reinforcement Learning. 🔥
The "Python Machine Learning (1st edition)" book code repository and info resource
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
PRML algorithms implemented in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Open Machine Learning Course
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Scalable and user friendly neural :brain: forecasting algorithms.
C++ implementation of the Python Numpy library
Graph drawing library for JavaScript
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
The machine learning toolkit for time series analysis in Python
StellarGraph - Machine Learning on Graphs
Quantitative analysis, strategies and backtests