#Deep-learning-tutorial
Showing 43 of 43 repositories tagged #deep-learning-tutorial, ranked by stars
🧑🏫 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, ... 🧠
A curated list of awesome Deep Learning tutorials, projects and communities.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
machine learning and deep learning tutorials, articles and other resources
:satellite: Simple and ready-to-use tutorials for TensorFlow
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A best practice for tensorflow project template architecture.
Machine learning glossary
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
A clear, concise, simple yet powerful and efficient API for deep learning.
A TensorFlow & Deep Learning online course I taught in 2016
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Videos, notes and experiments to understand deep learning
Descriptive Deep Learning
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
TensorFlow and Deep Learning Tutorials
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Train a state-of-the-art yolov3 object detector from scratch!
deeplearning.ai , By Andrew Ng, All video link
Machine Learning notebooks for refreshing concepts.
Personal deep learning study notes and tutorial-style notebooks
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
This is an open sourced book on deep learning.
A Great Collection of Deep Learning Tutorials and Repositories
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
A journey into Convolutional Neural Network visualization
دوره جامع یادگیری عمیق با Tensorflow و Keras
🍃 Using a Neural Network to improve web accessibility in JavaScript.
A curated list of Deep Learning resources sorted by reputation
以jax为后端的类似keras的框架
Introduction to Deep Learning: Chainer Tutorials
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.
What makes convnets so powerful at image classification?
Deep learning library in python from scratch
FloydHub Examples – A collection of boilerplates and examples of machine learning and deep learning models to build, train, and deploy on FloydHub
I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis