815 Open source projects that are alternatives of or similar to Ssc

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

CRF-RNN PyTorch version http://crfasrnn.torr.vision

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

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Understanding Convolution for Semantic Segmentation

3D U-Net model for volumetric semantic segmentation written in pytorch

https://arxiv.org/abs/1707.00836

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Emotion recognition using DNN with tensorflow

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

A simple library for creating complex neural networks

Using modified BiSeNet for face parsing in PyTorch

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Web labeling tool for bitmap images and point clouds

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

DeepFaceLab is the leading software for creating deepfakes.

Pruning and other network surgery for trained TF.Keras models.

Keyword spotting on Arm Cortex-M Microcontrollers

PyTorch Implementations for DeeplabV3 and PSPNet

A polyhedral compiler for expressing fast and portable data parallel algorithms

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

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

List of papers, code and experiments using deep learning for time series forecasting

Speech Enhancement Generative Adversarial Network in TensorFlow

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Tensorflow Backend for ONNX

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

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Deep Learning for Time Series Classification

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

collection of utilities to use with deep learning libraries (e.g. caffe)

Visualizing RNNs using the attention mechanism

Face Recognition Using Keras/tensorflow coupled with Node.js Server

yolo(all versions) implementation in keras and tensorflow 2.4

Service Classification based on Service Description

Neural Style and MSG-Net

Descriptive Deep Learning

Android TensorFlow Lite Machine Learning Example

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Semantic segmentation models, datasets and losses implemented in PyTorch.

Implementation of Quickdraw - an online game developed by Google

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

💃 Real-time single person pose estimation for Android and iOS.

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The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)