MIT License
Statistics for this project are still being loaded, please check back later.
Collection of influential white papers in the history of computer vision and neural nets
Momentum AI course in machine learning
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.
Google Colaboratory Notebooks and Repositories (by @firmai)
AI实战-practicalAI 中文版
As many google colab files as possible
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Fast and Easy Infinite Neural Networks in Python
🧠🗼
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
This repository contains implementations and illustrative code to accompany DeepMind publications
Machine learning, Deep Learning, CNN with PyTorch
Coding the Machine Learning Tutorial for Learning to Learn
Taming Transformers for High-Resolution Image Synthesis