brahimbellahcen Goto Github PK

adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

advisories

age-detection

Determine Age, Gender, and Ethnicity from images of faces using a deep neural network. Images basted on UTKFace dataset.

aiml-human-attributes-detection-with-facial-feature-extraction

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

animation_nodes

Node based visual scripting system designed for motion graphics in Blender.

antispoof-single-image

[2020-arXiv]Learning Generalized Spoof Cues for Face Anti-spoofing

arcface-tensorflow-2.0

autodrive

A small implementation that mimics Tesla's autopilot for Full Self Driving.

automatic-face-detection-annotation-and-preprocessing

Its an open source code to easily preprocess your images for mapping faces and convert a tfrecord , csv file to train your model.

autorccar

OpenCV Python Neural Network Autonomous RC Car

aws-serverless-face-recognition-sentiment-analysis-on-twitter

basic-statistics-for-data-science

bert_tensorflow

trying to run the original bert code from google, not hugging face

blender-flip-fluids

FLIP Fluids is a powerful liquid simulation plugin that gives you the ability to create high quality fluid effects all within Blender, the free and open source 3D creation suite.

blendergis

Blender addons to make the bridge between Blender and geographic data

caffe_weight_converter

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

card-crnn-ctpn

CTPN+CRNN bank card number identification(data/test pictures accuary ≈90%)

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

chat-bot-seq2seq-model-deep-nlp

chatbot using dnlp using seq2seq model lstms cells

classroom-attendance-system-utilizing-viola-jones-for-face-detection-and-lbph-for-face-recognition

The face of a human is crucial for conveying identity. Computer scientists, Neuro scientists, and psychologists, all exploits this human feature using image processing techniques for commercial, and law enforcement applications. Likewise, this feature can be invited into classrooms to maintain records of students’ attendance. Con- temporary traditional way of recording attendance involves human intervention and requires cooperation of the students which is hectic and contribute towards waste of class time. An automated real-time classroom attendance system detects students from still image or video frame coming from a digital camera, and marks his/her attendance by recognizing them. The system utilizes Viola–Jones object detection framework which is capable of processing images extremely rapidly with high detec- tion rates. In the next stage, the detected face in the image is recognized using Local Binary Patterns Histogram.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cnocr

基于 MXNet 的中文/英文 OCR Python 包

comparison_face_detection_methods

Comparison face detection methods MTCNN, HOG (dlib), HAAR (opencv)

control-3d-character-using-python

Controlling 3D character's Face Movements using OpenCV and pyhton

covid-19-face-mask-detector

Detects whether the person is wearing face mask or not, based on the model built using Python, MobileNet, Keras, OpenCV.

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

deep-face-recognition

One-shot Learning and deep face recognition notebooks and workshop materials

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deepecg

Using deep learning to detect Atrial fibrillation

deepface

Lightweight Facial Analysis Framework for Python Including Face Recognition and Demography (Age, Gender, Emotion and Race)