vonrafael Goto Github PK

2017spring

Deep Learning (for Computer Vision) Module - Spring 2017

2023-dgm-mipt-course

Deep Generative Models course, 2023

230pix2pix

ade20k

ADE20K Dataset

anime-segmentation

high-accuracy segmentation for anime character

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

babygpt

Something in the middle of Karpathy's mingpt model and video lectures, BabyGPT is an easy to use model on a much smaller scale (16 and 256 out channels , 5 heads, fine tuned). To be made useful on low powered devices.

cbam

Convolutional Attention Block Module

cbam_pytorch

《CBAM: Convolutional Block Attention Module》 pytorch实现

coms4995-s20

COMS W4995 Applied Machine Learning - Spring 20

course22p2

course.fast.ai 2022 part 2

coursera-deep-learning

My notes / works on deep learning from Coursera

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

cycle-cbam-and-cbam-unet

Cycle-consistent Generative Adversarial Network (CycleGAN) with Convolutional Block Attention Module (CBAM) - Cycle-CBAM. Modified UNet with CBAM - CBAM-UNet.

deep-learning

A few notebooks about deep learning in pytorch

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deep_learning_specialization

Five deep learning courses from coursera offered by Andrew Ag.

deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

dgm-resources

diffusionfastforward

DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

dlvcnptel

Tutorials for DLVC NPTEL MOOC

example-portfolio

Example data science portfolio

fastbook

The fastai book, published as Jupyter Notebooks

go-dsa

Go Data Structures and Algorithms is an open source tool for learning and rehearsing data structures and algorithms in Go.

ibmpytorch