110 Open Source Deep Learning Tutorial Software Projects
Free and open source deep learning tutorial code projects including engines, APIs, generators, and tools.
Awesome Deep Learning 18160 ⭐
A curated list of awesome Deep Learning tutorials, projects and communities.
Machine Learning Tutorials 11746 ⭐
machine learning and deep learning tutorials, articles and other resources
The Incredible Pytorch 8618 ⭐
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Tensorflow And Deeplearning Tutorial 2336 ⭐
A TensorFlow & Deep Learning online course I taught in 2016
Androidtensorflowmachinelearningexample 1386 ⭐
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Ilearndeeplearning.py 1028 ⭐
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.
Deep Tutorials For Pytorch 1140 ⭐
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Androidtensorflowmnistexample 451 ⭐
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
Stock Analysis Engine 744 ⭐
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/
Practical Deep Learning Book 518 ⭐
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
Deep Learning With Pytorch Chinese 653 ⭐
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
Pytorch Tutorials Examples And Books 408 ⭐
PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍
Maykulkarni Machine Learning Curriculum 294 ⭐
Complete path for a beginner to become a Machine Learning Scientist!
Color Accessibility Neural Network Deeplearn.js 230 ⭐
Deeplearning.ai Notes 275 ⭐
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Adaptnlp 385 ⭐
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Awesome Deep Learning And Machine Learning Questions 233 ⭐
Wordgcn 259 ⭐
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Vgg19_with_tensorflow 176 ⭐
An easy implement of VGG19 with tensorflow, which has a detailed explanation.
Numpydl 195 ⭐
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Alexnet_with_tensorflow 138 ⭐
an implement of AlexNet with tensorflow, which has a detailed explanation.
A Journey Into Convolutional Neural Network Visualization 202 ⭐
A journey into Convolutional Neural Network visualization
Machine_learning_lectures 127 ⭐
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Easy Yolo 98 ⭐
Yolo (Real time object detection) model training tutorial with deep learning neural networks
Openvino Custom Layers 105 ⭐
Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
Sahith02 Machine Learning Algorithms 128 ⭐
A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
Bitcoin Price Prediction Using Lstm 85 ⭐
Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Pytorch Neural Style Transfer 164 ⭐
Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
Prakritidev Deeplearning 49 ⭐
This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes
Pytorch Nst Feedforward 77 ⭐
Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.
Understanding Deep Convolutional Neural Networks With A Practical Use Case In Tensorflow And Keras 38 ⭐
What makes convnets so powerful at image classification?
Floydhub Examples 37 ⭐
FloydHub Examples – A collection of boilerplates and examples of machine learning and deep learning models to build, train, and deploy on FloydHub
Flowingsun007 Deeplearningtutorial 75 ⭐
Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!
Pytorch Deepdream 197 ⭐
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
Shinnosuke 21 ⭐
A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.
How To Train An Object Detector Using Tensorflow API On Ubuntu 16.04 Gpu 26 ⭐
This repo explains how to train an Object Detector for multiple objects using Tensorflow Object Detection API on Ubuntu 16.04 (GPU)
Pytorch Naive Video Nst 46 ⭐
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.
Personalised Aesthetic Assessment Using Residual Adapters 19 ⭐
Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.
Starttf 14 ⭐
A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
Deep Blueberry 18 ⭐
If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Aprendizagemprofunda Curso Deeplearning Course 10 ⭐
Tutorial de Deep Learning (Deep Learning Course) - Minicurso
Machine_learning_deep_learning_lessons 10 ⭐
機械学習・深層学習入門レッスン/Machine Learning and Deep Learning lessons.
Dl_text_classification 13 ⭐
Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.
Labml_nn 5883 ⭐
🧑🏫 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, ... 🧠
Gordicaleksa Pytorch Gans 302 ⭐
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Machine Learning Collection 2792 ⭐
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Pytorch Autocomplete 25 ⭐
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.
Computer Vision In Action 1275 ⭐
《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
Pytorch Universal Docker Template 555 ⭐
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Transformer Cnn Emotion Recognition 86 ⭐
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
Sklearn Audio Classification 24 ⭐
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
Brain Mri Age Classification Using Deep Learning 20 ⭐
MATLAB example using deep learning to classify chronological age from brain MRI images