7479 Open source projects that are alternatives of or similar to Deep Learning With Python

Awesome Generative Adversarial Networks with tensorflow

Protein function prediction using a variational autoencoder

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Code for "A-NICE-MC: Adversarial Training for MCMC"

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

The Simplest DCGAN Implementation

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

PyTorch implementation of "Auto-Encoding Variational Bayes"

Lab Materials for MIT 6.S191: Introduction to Deep Learning

🎨 Artistic neural style transfer with tweaks (pytorch).

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

🧑‍🏫 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, ... 🧠

The implementation of Relativistic average GAN with Keras

Some interesting TensorFlow tutorials for beginners.

This toolbox is support material for the book on CNN (http://www.convolution.network).

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

LSTM-CRF for NER with ConLL-2002 dataset

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

TensorFlow Tutorial for Time Series Prediction

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Visualisations for Convolutional Neural Networks in Pytorch

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Augmenting word embeddings with their surrounding context using bidirectional RNN

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

爬虫+脸部识别+DCGAN脸部自动生成

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

An implementation of CycleGan using TensorFlow

Composable GAN framework with api and user interface

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Keras implementations of Generative Adversarial Networks.

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Application of machine learning to the Coinbase (GDAX) orderbook

Duke-Tsinghua Machine Learning Summer School 2017

Fish detection using Open Images Dataset and Tensorflow Object Detection

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

Generative Adversarial Networks in Keras

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Code for the Lovász-Softmax loss (CVPR 2018)

Visualization of GAN training process

Códigos e materiais sobre TensorFlow em Português

Notebooks about Bayesian methods for machine learning

Compute FID scores with PyTorch.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Books, papers and links to latest research in ML/AI

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

My Attempt(s) In The World Of ML/DL....

Voice Conversion using Cycle GAN's For Non-Parallel Data

A Tutorial for Serving Tensorflow Models using Kubernetes