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Mical's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

asrt_speechrecognition icon asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

augmentor icon augmentor

Image augmentation library in Python for machine learning.

awesome icon awesome

Github Trending榜高赞与趣味项目速览。主理人:同济子豪兄

bert icon bert

TensorFlow code and pre-trained models for BERT

bytetrack icon bytetrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

casr-demo icon casr-demo

基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chatgpt-on-wechat icon chatgpt-on-wechat

使用ChatGPT搭建微信聊天机器人,基于OpenAI API和itchat实现。Wechat robot based on ChatGPT, which using OpenAI api and itchat library.

cnocr icon cnocr

基于 MXNet 的中文/英文 OCR Python 包

crnn.pytorch icon crnn.pytorch

(CRNN文字识别) Convolutional recurrent network in pytorch

csrnet-pytorch icon csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deepspeechrecognition icon deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

downstream-dinov2 icon downstream-dinov2

Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular depth estimation.

facemaskdetection icon facemaskdetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

fire-detect-by-yolov5 icon fire-detect-by-yolov5

火灾检测,浓烟检测,吸烟检测,持续更新中~欢迎star与提出指导~~请查看原文:https://blog.csdn.net/qq_46098574/article/details/107334954

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