6347 Open source projects that are alternatives of or similar to Hands On Deep Learning Algorithms With Python

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Predict Cryptocurrency Price with Deep Learning

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Attacking Speaker Recognition with Deep Generative Models

An algorithm to augment syntactic hierarchy into word embeddings

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Deep learning meets molecular dynamics.

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Synthetic Data Generation for tabular, relational and time series data.

Pytorch easy-to-follow Capsule Network tutorial

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

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

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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

Implementation of Hierarchical Attention Networks in PyTorch

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Aulas da Escola de Inteligência Artificial de São Paulo

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Generating multiple choice questions from text using Machine Learning.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Image-to-Image Translation in PyTorch

百度云魅族深度学习应用大赛

Keras tutorial for beginners (using TF backend)

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A collection of notebooks for Natural Language Processing from NLP Town

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Diseases Detection from NIH Chest X-ray data

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

capsule networks that achieves outstanding performance on the German traffic sign dataset

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

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

StarNet

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Application of machine learning to the Coinbase (GDAX) orderbook

Remove problematic gender bias from word embeddings.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

中文的 tensorflow tutorial with jupyter notebooks

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

🏖 Keras Implementation of Painting outside the box

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Representation learning for link prediction within social networks

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN