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

Tensorflow implementation of CycleGAN

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Variational autoencoders for collaborative filtering

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

SpecGAN - generate audio with adversarial training

Chainer implementation of Wasserstein GAN

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Tensorflow implementation of variational auto-encoder for MNIST

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

文本情感分析

Neural Turing Machines (NTM) - PyTorch Implementation

Comparison of Generative Models in Tensorflow

PyTorch tutorial for learners

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Image augmentation library in Python for machine learning.

A collection of Bayesian data analysis recipes using PyMC3

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

T2F: text to face generation using Deep Learning

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

A simple probabilistic programming language.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A collection of deep learning tutorials using Tensorflow and Python

a tensorflow implementation of WGAN

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Synthesizing and manipulating 2048x1024 images with conditional GANs

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

Sarcasm detection on tweets using neural network

Fast and Easy Infinite Neural Networks in Python

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

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Datasets, tools, and benchmarks for representation learning of code.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

InstaGAN: Instance-aware Image Translation (ICLR 2019)

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

An AI for Music Generation

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

TensorFlow and Deep Learning Tutorials

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

All my experiments with AI and ML

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring