1963 Open source projects that are alternatives of or similar to Pyconv

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

CNN image classifier implemented in Keras Notebook 🖼️.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

convolutional lstm implementation in pytorch

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

The Official Deep Learning Framework for Route-based Place Recognition

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

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Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

A light-weight, power efficient, and general purpose convolutional neural network

Code examples for new APIs of iOS 10.

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

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(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

This is an open sourced book on deep learning.

Deep Learning Computer Vision Algorithms for Real-World Use

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

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

RMDL: Random Multimodel Deep Learning for Classification

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Deep learning codes and projects using Python

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

PyTorch implementation of LeNet-5 with live visualization

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

PyTorch tutorial for learners

Top 200 deep learning Github repositories sorted by the number of stars.

Object classification with CIFAR-10 using transfer learning

Trains a model, then generates a complete Xcode project that uses it - no code necessary

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.

Voice Activity Detection based on Deep Learning & TensorFlow

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Hiding Images within other images using Deep Learning

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Attention-guided CNN for image denoising(Neural Networks,2020)

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

SHAInet - a pure Crystal machine learning library

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Be Driven 🚘

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Udacity Self-Driving Car Engineer Nanodegree projects.

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

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.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

A generalized gradient-based CNN visualization technique

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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A specially designed light version of Fast AutoAugment