83 Open source projects that are alternatives of or similar to Awesome Deep Learning

【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

an implement of AlexNet with tensorflow, which has a detailed explanation.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)

Predict keypoint positions on face images

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

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.

深度学习教程整理 | 干货

Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

🧑‍🏫 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, ... 🧠

📢 Ready to learn or review your knowledge!

No description or website provided.

A TensorFlow & Deep Learning online course I taught in 2016

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

郑泽宇等《TensorFlow实战Google深度学习框架》（第二版）学习

Using temporal convolution to detect Audio Deepfakes

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Use Transformers and LSTMs to learn Python source code

Deep learning tutorial with Chainer

The deeplearning algorithms implemented by tensorflow

Deep learning library in python from scratch

Yolo (Real time object detection) model training tutorial with deep learning neural networks

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!

Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

No description or website provided.

Machine Learning notebooks for refreshing concepts.

Predict Age and Gender of people from images | Determination of gender and age

A clear, concise, simple yet powerful and efficient API for deep learning.

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Machine learning glossary

Introduction to Deep Learning: Chainer Tutorials

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。

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

A journey into Convolutional Neural Network visualization

Latest Data Science Materials

machine learning and deep learning tutorials, articles and other resources

📡 Simple and ready-to-use tutorials for TensorFlow

A curated list of Deep Learning resources sorted by reputation

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Deep learning tutorial

a collection of my notes on deep learning

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

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.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Different machine learning algorithms implementation in Tensorflow

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

A collection of natural language processing notebooks.

No description or website provided.

Differentiable architecture search for convolutional and recurrent networks

Complete path for a beginner to become a Machine Learning Scientist!

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.

Image classification of wildflowers using deep residual learning and convolutional neural nets

Use Transformers and LSTMs to learn Python source code