Stars
A generative world for general-purpose robotics & embodied AI learning.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Learning Convolutional Neural Networks with Interactive Visualization.
Understanding Deep Learning - Simon J.D. Prince
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Plain python implementations of basic machine learning algorithms
GitHub repository for the SecureDrop whistleblower platform. Do not submit tips here!
Tips for Writing a Research Paper using LaTeX
NMA Computational Neuroscience course
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Open-source toolbox for visual fashion analysis based on PyTorch
A curated list of causal inference libraries, resources, and applications.
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
Learn about Machine Learning and Artificial Intelligence
A tiny color picker custom element for modern web apps (2.7 KB) 🎨
Awesome resources for learning control theory
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution
Graph Machine Learning course, Xavier Bresson, 2023
Learning Deep Representations of Data Distributions