896 Open source projects that are alternatives of or similar to Pixelnet

Real-World Anomaly Detection in Surveillance Videos

A caffe implementation of MobileNet-YOLO detection network

Generic U-Net Tensorflow 2 implementation for semantic segmentation

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

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

Trajectory-pooled Deep-Convolutional Descriptors

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Semantic segmentation models, datasets and losses implemented in PyTorch.

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Combine Baidu Research warpctc with Caffe

Light-Weight RefineNet for Real-Time Semantic Segmentation

AI on Hadoop

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

CORe50: a new Dataset and Benchmark for Continual Learning

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

An awesome semantic segmentation model that runs in real time

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Deep learning applied to georeferenced datasets

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Understanding Convolution for Semantic Segmentation

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Use caffe to train your own data in just one click

an open-source implementation of sequence-to-sequence based speech processing engine

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Training Toolbox for Caffe

PyTorch for Semantic Segmentation

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning Benchmarking Suite

Unsupervised Learning for Image Registration

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

PHP-ML - Machine Learning library for PHP