880 Open source projects that are alternatives of or similar to Generative Inpainting Pytorch

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

This is a tutorial for PyTorch Geometric on the YooChoose dataset

CardIO is a library for data science research of heart signals

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Auxiliary Classifier Generative Adversarial Networks in Keras

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Semi-supervised GAN in "Improved Techniques for Training GANs"

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Pytorch implementation for LapSRN (CVPR2017)

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The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

HDLTex: Hierarchical Deep Learning for Text Classification

code of Relation Classification via Multi-Level Attention CNNs

This is a list of awesome articles about object detection from video.

Image-to-Image Translation in PyTorch

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

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Various ML/DL Resources organised at a single place.

LCNN: End-to-End Wireframe Parsing

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Asynchronous Distributed Hyperparameter Optimization.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Code for GAN2Shape (ICLR2021 oral)

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

attention model for entailment on SNLI corpus implemented in Tensorflow and Keras

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Distributed Keras Engine, Make Keras faster with only one line of code.

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

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Attention mechanism Implementation for Keras.

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

PyTorch implementation of Super SloMo by Jiang et al.

Tensorflow implementation of generative adversarial imitation learning

OneFlow is a performance-centered and open-source deep learning framework.

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Minimalist implementation of VQ-VAE in Pytorch

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

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

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

DCGAN image generator 🖼️.

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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Bidirectional LSTM network for speech emotion recognition.

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

Speaker independent emotion recognition

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Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Implement of Openpose use Tensorflow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

NVIDIA DeepStream SDK 5.1 configuration for YOLO models