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🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
Bringing Old Photo Back to Life (CVPR 2020 oral)
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
A sound cloning tool with a web interface, using your voice or any sound to record audio / 一个带web界面的声音克隆工具，使用你的音色或任意声音来录制音频
This is an AI agent for Street Fighter II Champion Edition.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Image augmentation library in Python for machine learning.
Python爬虫实战 - 模拟登陆各大网站 包含但不限于：滑块验证、拼多多、美团、百度、bilibili、大众点评、淘宝，如果喜欢请start ❤️
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
DecryptLogin: APIs for loginning some websites by using requests.
🙌Easily download all the videos from TikTok(amemv).下载指定的 抖音（Douyin） 号的视频,抖音爬虫
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
中文语音识别; Mandarin Automatic Speech Recognition;
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Reverse-engineering the new “captchaless” ReCaptcha system...
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Chinese sentiment analysis library, which supports counting the number of different emotional words in the text
This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3
🎨 基于Qt的动画特效控件实现 | Qt widgets-based implementation of the Animation Material Design specification.😊
大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello…
Python异步任务编排框架。支持http，redis和MySQL异步任务，异步文件IO。Python下最快的http server之一。
使用SO_PMI互信息算法、词向量法快速构建不同领域(手机、汽车等)的专业情感词典
这个项目将 RAVDESS 数据集切割成 1s 短语音，利用 openSMILE+CNN 进行训练，目标是将短语音分类到四种情感中，分别是：开心（happy）、悲伤（sad）、生气（angry）和中性（neutral）。最后准确率达到 76% 左右。
Easily download all the videos from hotsoon.下载指定的 火山小视频（hotsoon） 用户下的视频,火山爬虫,火山小视频爬虫
Data enhance for yoloV3.For:https://github.com/qqwweee/keras-yolo3