799 Open source projects that are alternatives of or similar to Deepco3

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

ConText v4: Neural networks for text categorization

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Estimate/count FLOPS for a given neural network using pytorch

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Code examples for training AlexNet using Keras and Theano

A Neural Networking library based on NumPy only

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

ECG classification programs based on ML/DL methods

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

A CoreML model which classifies images of food

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Detecting cinema shot types using a ResNet-50

Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》

Using Machine Learning to predict the type of exercise from movement data

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Boundary-preserving Mask R-CNN (ECCV 2020)

Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)

Artificial neural network classes and tools in Python and TensorFlow.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

Data augmentation using synthetic data for time series classification with deep residual networks

a collection of my notes on deep learning

Object classification with CIFAR-10 using transfer learning

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Convolutional Autoencoder for Loop Closure

Unsupervised learning and generative models in python/pytorch.

convolutional lstm implementation in pytorch

实现常用基于深度学习的人脸检测算法

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

Mask R-CNN for object detection and instance segmentation on Pytorch

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

speech to text with self-supervised learning based on wav2vec 2.0 framework

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CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Automated Driving in NFS using CNN.

PyTorch implementation of LeNet-5 with live visualization

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Finding Tiny Faces in PyTorch

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