912 Open source projects that are alternatives of or similar to Pytorch Unet

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

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

Season 2 of @twosigma's artificial intelligence programming challenge

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

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

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

PyTorch re-implementation of DeepMask

코딩셰프의 3분 딥러닝, 케라스맛

Vocal Remover using Deep Neural Networks

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

List of articles related to deep learning applied to music

Tools for PyTorch

This is a tutorial for PyTorch Geometric on the YooChoose dataset

nucleus/cell and histopathology image classification,detection,segmentation

Python version of Sudachi, a Japanese tokenizer.

deep learning for image processing including classification and object-detection etc.

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

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Pytorch implementation for LapSRN (CVPR2017)

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

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Deep Learning for Seismic Imaging and Interpretation

Speaker independent emotion recognition

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

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

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.

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。

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Archived - not answering issues

Features a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

To classify video into various classes using keras library with tensorflow as back-end.

Fast (aimed to "real time") Portrait Segmentation on mobile phone

Learn OpenCV : C++ and Python Examples

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Batch normalization fusion for PyTorch

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Deep Learning with TensorFlow by Packt

oneAPI Deep Neural Network Library (oneDNN)

Train and visualize Hierarchical Attention Networks

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Deep learning for audio denoising

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

HDLTex: Hierarchical Deep Learning for Text Classification

Detect the programming language of a source code

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Binary and Categorical Focal loss implementation in Keras.

hair segmentation in mobile device

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

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