1166 Open source projects that are alternatives of or similar to Deepgaze

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

food image to recipe with deep convolutional neural networks.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

🚀 😏 Near Real Time CPU Face detection using deep learning

This is the C++ implement of the paper: Face Detection, Pose Estimation, and Landmark Localization in the Wild

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

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

The Official Deep Learning Framework for Route-based Place Recognition

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

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

CNN for Chinese Text Classification in Tensorflow

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Finding Tiny Faces in PyTorch

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

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

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Building Convolutional Neural Networks From Scratch using NumPy

A modern PyTorch implementation of SRGAN

CNN visualization tool in TensorFlow

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

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

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

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

PCN based on ncnn framework.

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

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

A generalized gradient-based CNN visualization technique

Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"

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

Deep learning based gaze estimation demo with a fun feature :-)

Cool Vision projects

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

CNN image style transfer 🎨.

RMDL: Random Multimodel Deep Learning for Classification

Implementation of a hierarchical CNN based model to detect Big Five personality traits

A brand logo detection system using tensorflow object detection API.

Code examples for new APIs of iOS 10.

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Official Implementation of 'Fast AutoAugment' in PyTorch.

Digit recognition with Convolutional Neural Networks in WebGL

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

SincNet is a neural architecture for efficiently processing raw audio samples.

TensorFlow and Deep Learning Tutorials

TensorFlow Implementation of state-of-the-art models since 2012

Medical image preprocessing and augmentation toolkit for deep learning

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

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

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

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

🎨 🎨 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/

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Deep learning codes and projects using Python

3D image classification using CNN (Convolutional Neural Network)

Music recommender using deep learning with Keras and TensorFlow

Visualisations for Convolutional Neural Networks in Pytorch

Cifar-10 CNN implementation using TensorFlow library with 20% error.

PyTorch tutorial for learners