leetcode的练习记录

This repo contains links of resources, theory subjects content and DSA questions & their solution for interview preparation from different websites like geeksforgeeks, leetcode, etc.

Data structures enable us to organize and store data, whereas algorithms enable us to process that data in a meaningful sense. Totally there are 260 lecture codings and assignments are on the way.

Frontend Project With Tutorial And Source Code

This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

A Multimodal Facial Biometric System for Recognition, Gender Classification, Emotion Recognition and Face-Shape Prediciton

A Deep Learning based Facial Emotion Recognition in python.

Real-time Facial Emotion Detection using deep learning

face recognition, detection of facial attributes (age, gender, emotion and race) for python.

face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, et…

Emotion detection using Keras and OpenCV with accuracy in validation 70% for dataset

Reading list for Awesome Sentiment Analysis papers

Performing image classification for detection of various human emotions using CNN Architecture.

Emotion detection on browser using TensorFlow.js

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

Detect the mood using image processing and play music accordingly.

This program can recognize your mood by detecting your face and play song according your mood

All Leetcode solutions whose videos are on the channel.

Facial Expression Recognition Using CNN and Haar-Cascade

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset