Roger Granada's starred repositories
lung-disease-classification
Lung Disease Classification
miyagi_pytorch_trainer
A pytorch trainer with a range of choice for backbones, losses, metrics and wandb sweeps.
google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ML-YouTube-Courses
đź“ş Discover the latest machine learning / AI courses on YouTube.
FaceImageQuality
Code and information for face image quality assessment with SER-FIQ
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
cs-video-courses
List of Computer Science courses with video lectures.
Face-Pose-Net
Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network
extreme_3d_faces
Extreme 3D Face Reconstruction: Looking Past Occlusions
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
supervised-reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
landmark-based-goal-recognition
:paw_prints: :cyclone: Landmark-Based Approaches for Goal Recognition as Planning.
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 ;)