Manuel Muñoz Aguirre's starred repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
iTerm2-Color-Schemes
Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
cs231n.github.io
Public facing notes page
tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
pytorch-Deep-Learning
Deep Learning (with PyTorch)
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
White-box-Cartoonization
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
pytorch-lr-finder
A learning rate range test implementation in PyTorch
Deep-learning-in-cloud
List of Deep Learning Cloud Providers
self-label
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
deep-significance
Enabling easy statistical significance testing for deep neural networks.
CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)