vonrafael Goto Github PK
Name: Raphael von EigenDorf
Type: User
Bio: DL Enthusiast
Name: Raphael von EigenDorf
Type: User
Bio: DL Enthusiast
Deep Learning (for Computer Vision) Module - Spring 2017
Deep Generative Models course, 2023
ADE20K Dataset
high-accuracy segmentation for anime character
🧑🏫 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, ... 🧠
Scenarios, tutorials and demos for Autonomous Driving
A collection of resources and papers on Diffusion Models
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
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.
sampkke datasert
Convolutional Attention Block Module
《CBAM: Convolutional Block Attention Module》 pytorch实现
COMS W4995 Applied Machine Learning - Spring 20
course.fast.ai 2022 part 2
My notes / works on deep learning from Coursera
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Cycle-consistent Generative Adversarial Network (CycleGAN) with Convolutional Block Attention Module (CBAM) - Cycle-CBAM. Modified UNet with CBAM - CBAM-UNet.
A few notebooks about deep learning in pytorch
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Five deep learning courses from coursera offered by Andrew Ag.
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Practical assignments of the Deep|Bayes summer school 2019
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
Tutorials for DLVC NPTEL MOOC
Example data science portfolio
The fastai book, published as Jupyter Notebooks
Bhagavad Gita in JSON
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.