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maohengli's Projects

chatgpt_academic icon chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

chenyuebook icon chenyuebook

1000多个电子书涉及方向有C/C++、java基础、java服务端、php、Go、C#、python、前端(小程序、uniapp、跨平台...)、Android/ios、数据结构和算法、面试、linux入门、linux c/c++服务端、嵌入式、运维、linux内核、linux内核、linux驱动、底层操作系统、计算机网络、设计模式、数据库、大数据、云计算、区块链、windows开发、游戏开发、安全与逆向、并发编程、架构设计、重构优化、鸿蒙系统开发、机器学习、深度学习、matlab、计算机视觉、数据挖掘、自然语言处理、数字图像处理、机器人开发、等主流计算机开发40多个方向

clip icon clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

darknet icon darknet

darknet深度学习框架源码分析:详细中文注释,涵盖框架原理与实现语法分析

icassp2022-depression icon icassp2022-depression

Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus

mmsa icon mmsa

MMSA is a unified framework for Multimodal Sentiment Analysis.

openface icon openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

paddlets icon paddlets

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

pytorch-meta icon pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

screentogif icon screentogif

🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.

shimmer3 icon shimmer3

Shimmer3 applications for Code Composer Studio

tabnet icon tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

text2vec icon text2vec

text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。

tsfresh icon tsfresh

Automatic extraction of relevant features from time series:

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