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hhhhha-ops's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-cs-books icon awesome-cs-books

经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

class-imbalance icon class-imbalance

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

compactfer icon compactfer

The implementation of CVPR 2018 FER paper: A Compact Deep Learning Model for Robust Facial Expression Recognition

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

eduaction-a-college-student-action-dataset-for-classroom-attention-estimation icon eduaction-a-college-student-action-dataset-for-classroom-attention-estimation

In the consideration that the college student behavior dataset is scarce, we set up a novel college students’ action dataset in the classroom for attention estimation in this paper, named as EduAction dataset. We carefully analyze the source data and discover seven most common actions of college students in the real classroom environment: sleeping, listening to lectures, drinking water, talking with others, watching the computer, playing with mobile phones, and writing. The EduAction dataset consists of 7 types of actions and 718 action clips, collected in the real college classroom environment.

emopy icon emopy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

facial-expression-recognition icon facial-expression-recognition

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

facial-expression-recognition-1 icon facial-expression-recognition-1

The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training

facial-expression-recognition.pytorch icon facial-expression-recognition.pytorch

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

imbalanced-learn icon imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

intelliment icon intelliment

Sentiment analysis to analyze student behavior to promote positive reinforcement in the classroom

kmeans_smote icon kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

mmtracking icon mmtracking

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

skiplist-cpp icon skiplist-cpp

A tiny KV storage based on skiplist written in C++ language| 使用C++开发,基于跳表实现的轻量级键值数据库🔥🔥 🚀

stand-dataset icon stand-dataset

A dataset for student behaviour detection in the classroom.

techcpp icon techcpp

【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

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