162 Open source projects that are alternatives of or similar to Deeplearning

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

Lets Learn AI

deeplearning.ai , By Andrew Ng, All video link

Примеры для курса "Программирование глубоких нейронных сетей на Python"

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

Machine Learning notebooks for refreshing concepts.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

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!

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

📢 Ready to learn or review your knowledge!

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

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Train a state-of-the-art yolov3 object detector from scratch!

【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

The deeplearning algorithms implemented by tensorflow

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

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

🔥 Reproducibly benchmarking Keras and PyTorch models

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

A best practice for tensorflow project template architecture.

Collection of Keras models used for classification

TensorFlow Lite models, samples, tutorials, tools and learning resources.

📡 Simple and ready-to-use tutorials for TensorFlow

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

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

RAD: Reinforcement Learning with Augmented Data

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Layers Outputs and Gradients in Keras. Made easy.

A curated list of awesome Deep Learning tutorials, projects and communities.

PyTorch to Keras model convertor

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Introduction to Deep Neural Networks with Keras and Tensorflow

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level

Curated set of transformers that make your work with steppy faster and more effective 🔭

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.

猫狗大战

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.

Keras implementation of a ResNet-CAM model

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/

The implementation of Relativistic average GAN with Keras

Simple tutorials using Keras Framework

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。

Minimalistic Multiple Layer Neural Network from Scratch in Python.

No description or website provided.

PyTorch implementation of Deformable Convolution

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Hands-On Deep Learning Algorithms with Python, By Packt

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

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

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Notes and experiments to understand deep learning concepts

Descriptive Deep Learning

Deep Learning Tutorials for 10 Weeks

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

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.