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

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

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.

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

An open source library for face detection in images. The face detection speed can reach 1000FPS.

🎨 🎨 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/

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Character-level Convolutional Networks for Text Classification论文仿真实现

使用 Vue 框架搭建演示，H5、Web、NodeJS 实现人脸检测识别，基于 TensorFlowJS 实现的 face-api.js 人脸识别库。

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

A tool to collect public images from Facebook and create an image dataset for training computer vision applications like gender recognition, and face detection

Tools to Design or Visualize Architecture of Neural Network

NN based lossless compression

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

基于RetinaFace的目标检测方法，适用于人脸、缺陷、小目标、行人等

FaceBoxes for hand detection in PyTorch

Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick

Reimplement RetinaFace using PyTorch.