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Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
Code to generate Preliminary Results
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This repo contains annotated research papers that I found really good and useful
Applied Deep Learning Course
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
The most cited deep learning papers
A curated list of deep learning resources for computer vision
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
A curated list of awesome neural radiance fields papers
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Random Forest - a curated list of resources regarding random forest
Recurrent Neural Network - A curated list of resources dedicated to RNN
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Neural Simulator for AGI research and development
Multi-Modality Cell Segmentation
Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
A technical report on convolution arithmetic in the context of deep learning
The 3rd edition of course.fast.ai
Complete end to end Datascience Books for various Application
End-to-End Object Detection with Transformers
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Python code to create formatted LaTeX tables from a Microsoft Excel file.
A robot powered training repository :robot:
Toolset for training quantitative sequence to function models.
keras-HRNet
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
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.