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Top 75 deep-learning-tutorial open source projects

Nn
🧑‍🏫 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, ... 🧠
Wordgcn
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Awesome Deep Learning And Machine Learning Questions
【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
Vgg19 with tensorflow
An easy implement of VGG19 with tensorflow, which has a detailed explanation.
Dive Into Dl Pytorch
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。
Numpydl
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Fake Voice Detection
Using temporal convolution to detect Audio Deepfakes
Alexnet with tensorflow
an implement of AlexNet with tensorflow, which has a detailed explanation.
Python autocomplete
Use Transformers and LSTMs to learn Python source code
Machine learning lectures
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Hyperdl Tutorial
深度学习教程整理 | 干货
Pytorch Neural Style Transfer
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.
Openvino Custom Layers
Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
Easy Yolo
Yolo (Real time object detection) model training tutorial with deep learning neural networks
The Incredible Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Deeplearning
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
Deep Tutorials For Pytorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Ilearndeeplearning.py
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.
Ufldl tutorial
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Stock Analysis Engine
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/
Deep Learning With Pytorch Chinese
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。
Dl tutorials 10weeks
Deep Learning Tutorials for 10 Weeks
Tensorflow Course
📡 Simple and ready-to-use tutorials for TensorFlow
Adaptnlp
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Pytorch Gans
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Dlpython course
Примеры для курса "Программирование глубоких нейронных сетей на Python"
Deeplearning.ai Notes
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.
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