1139 Open source projects that are alternatives of or similar to Liteflownet

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

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

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

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

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

Implementation of Quickdraw - an online game developed by Google

Service Classification based on Service Description

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

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Active Convolution

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

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

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/

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

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

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

Deep Learning--深度学习

Noise-Tolerant Paradigm for Training Face Recognition CNNs

MTCNN with Motion Detection, on Raspberry Pi with Love

Hierarchical Attention Networks for document classification

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

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

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Frame-Recurrent Video Super-Resolution (official repository)

The Convolutional Neural Network(CNN) for Android

DeepDetect performance sheet

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

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

AI on Hadoop

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

Caffe to VHDL

YOLO for object detection tasks

keras를 이용한 딥러닝 기초 학습

[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.

MobileNet-v2 experimental network description for caffe

Notes for Deep Learning Specialization Courses led by Andrew Ng.

[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

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

Densely Connected Pyramid Dehazing Network (CVPR'2018)

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

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

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CNN model inference benchmarks for some popular deep learning frameworks

Caffe implementation for "Guided Optical Flow Learning"

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

DilatedNet in Keras for image segmentation

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No dependency caffe replacement

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Predict Cryptocurrency Price with Deep Learning