638 Open source projects that are alternatives of or similar to Pytorch Lapsrn

VDSR (CVPR2016) pytorch implementation

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Understanding emotions from audio files using neural networks and multiple datasets.

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

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

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

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Binary and Categorical Focal loss implementation in Keras.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Learn OpenCV : C++ and Python Examples

A High-Quality Real Time Upscaler for Anime Video

Appearance-and-Relation Networks

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Image Captions Generation with Spatial and Channel-wise Attention

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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

Pytorch version of Realtime Multi-Person Pose Estimation project

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

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

HDLTex: Hierarchical Deep Learning for Text Classification

A Simple and easy to use way to Visualise Embeddings!

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

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。

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

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

Various ML/DL Resources organised at a single place.

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

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.

Season 2 of @twosigma's artificial intelligence programming challenge

Latex code for making neural networks diagrams

oneAPI Deep Neural Network Library (oneDNN)

Asynchronous Distributed Hyperparameter Optimization.

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Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

This is a tutorial for PyTorch Geometric on the YooChoose dataset

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

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This is Andrew NG Coursera Handwritten Notes.

Sparse and structured neural attention mechanisms

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Arm Machine Learning tutorials and examples

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

List of articles related to deep learning applied to music

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Implementation of character based convolutional neural network

Train and visualize Hierarchical Attention Networks

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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ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation