74 Open source projects that are alternatives of or similar to Tensorflow Course

A curated list of Deep Learning resources sorted by reputation

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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

A journey into Convolutional Neural Network visualization

The implementation of Relativistic average GAN with Keras

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

a collection of my notes on deep learning

Deep learning library in python from scratch

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

Machine Learning notebooks for refreshing concepts.

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。

IEEE "Invited Talk on Deep Learning" 03/02/2018

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

machine learning and deep learning tutorials, articles and other resources

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.

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

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!

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.

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.

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

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

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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

Lets Learn AI

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

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

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.

郑泽宇等《TensorFlow实战Google深度学习框架》（第二版）学习

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

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

Using temporal convolution to detect Audio Deepfakes

Deep learning tutorial with Chainer

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

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Use Transformers and LSTMs to learn Python source code

Different machine learning algorithms implementation in Tensorflow

深度学习教程整理 | 干货

Deep learning tutorial

The deeplearning algorithms implemented by tensorflow

Use Transformers and LSTMs to learn Python source code

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

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

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

🧑‍🏫 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!

A collection of natural language processing notebooks.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

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

No description or website provided.

In-depth tutorials for implementing deep learning models on your own with PyTorch.

A TensorFlow & Deep Learning online course I taught in 2016

Notes and experiments to understand deep learning concepts

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【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

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

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

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

Introduction to Deep Learning: Chainer Tutorials

Machine learning glossary