1095 Open source projects that are alternatives of or similar to Liteflownet2

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

Deep Learning--深度学习

Hierarchical Attention Networks for document classification

The Convolutional Neural Network(CNN) for Android

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

深度学习入门教程, 优秀文章, Deep Learning Tutorial

MobileNet-v2 experimental network description for caffe

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

Caffe implementation for "Guided Optical Flow Learning"

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

No dependency caffe replacement

Service Classification based on Service Description

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

keras를 이용한 딥러닝 기초 학습

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Active Convolution

Tools to Design or Visualize Architecture of Neural Network

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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

MTCNN with Motion Detection, on Raspberry Pi with Love

Visualizer for neural network, deep learning, and machine learning models

A small convolution neural network deep learning framework implemented in c++.

Caffe to VHDL

DeepDetect performance sheet

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

CNN model inference benchmarks for some popular deep learning frameworks

YOLO for object detection tasks

DilatedNet in Keras for image segmentation

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Implementation of Quickdraw - an online game developed by Google

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Noise-Tolerant Paradigm for Training Face Recognition CNNs

AI on Hadoop

A dataset for estimation of hand pose and shape from single color images.

코딩셰프의 3분 딥러닝, 케라스맛

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

Use caffe to train your own data in just one click

Sentence Classifications with Neural Networks

Style transfer using deep convolutional neural nets

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

List of articles related to deep learning applied to music

Deep fake ready to train on any 2 pair dataset with higher resolution

Pytorch Implementation of DeepLog.