710 Open source projects that are alternatives of or similar to Active Convolution

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

AI on Hadoop

CNN model inference benchmarks for some popular deep learning frameworks

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

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

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

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

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

DilatedNet in Keras for image segmentation

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

Caffe for Sparse Convolutional Neural Network

[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

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

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

No dependency caffe replacement

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

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

This toolbox is support material for the book on CNN (http://www.convolution.network).

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Image Processing Toolbox in Verilog using Basys3 FPGA

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

[AAAI2020] Cross-Modality Paired-Images Generation for RGB-InfraredPerson Re-Identification

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

convert model from mxnet to caffe without lossing precision

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

TensorFlow TransFormer🍔

🤘 awesome-semantic-segmentation

html5 canvas image process ( 3*3 kernel ) canvas卷积核测试 canvas图片后期

A deep convolutional neural network system for live emotion detection

Take further steps in the arms race of adversarial examples with only preprocessing.

Python tutorials as Jupyter Notebooks for NLP, ML, AI

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

keras를 이용한 딥러닝 기초 학습

Service Classification based on Service Description

GPU Javascript Library for Machine Learning

faster-rcnn c++ python model

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Convert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model

A web application showcasing image recognition using deep learning with Cortex. See it in action at https://deeplearning.magnet.coop/

Multi-class confusion matrix library in Python

Training Toolbox for Caffe

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

DeeplabV2 segmentation in Keras.

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

A uniform interface to run deep learning models from multiple frameworks

Paperspace API for python

Self-contained Machine Learning and Natural Language Processing library in Go

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Convert Darknet model to Caffe's

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'

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

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem