Lists (5)
Stars
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Neural Networks: Zero to Hero
This repository contains implementations and illustrative code to accompany DeepMind publications
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
this repository accompanies the book "Grokking Deep Learning"
Flax is a neural network library for JAX that is designed for flexibility.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
links to conference publications in graph-based deep learning
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Solve puzzles. Improve your pytorch.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Massively parallel rigidbody physics simulation on accelerator hardware.
Keras documentation, hosted live at keras.io
A collection of guides and examples for the Gemma open models from Google.
Repository for benchmarking graph neural networks (JMLR 2023)
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Python libraries for Google Colaboratory
Fast and Easy Infinite Neural Networks in Python
This repository is deprecated and will be archived
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Instructional notebooks on music information retrieval.