# 人工智能
# Flag
深度学习是神经网络的深层神经网络。强化学习是独立于机器学习之外的分支,强化学习严格来说不属于机器学习, 机器学习的任务是通过已知的训练集来学习目标函数,而强化学习不需要训练集。
- 机器学习:一切通过优化方法挖掘数据中规律的学科。
- 深度学习:一切运用了神经网络作为参数结构进行优化的机器学习算法。学习过程是静态的,训练样本是有标签的
- 强化学习:不仅能利用现有数据,还可以通过对环境的探索获得新数据,并利用新数据循环往复地更新迭代现有模型的机器学习算法。学习过程是动态的,训练是没有标签的
- 深度强化学习:一切运用了神经网络作为参数结构进行优化的强化学习算法。
- https://github.com/Charmve/computer-vision-in-action (opens new window)
- https://github.com/topics/machine-learning (opens new window)
- https://github.com/topics/deep-learning (opens new window)
- https://github.com/topics/neural-network (opens new window)
- https://github.com/topics/computer-vision (opens new window)
- https://github.com/topics/artificial-intelligence (opens new window)
- ncnn推理 https://github.com/topics/ncnn (opens new window)
- torch推理 https://github.com/topics/pytorch (opens new window)
- https://github.com/topics/text-recognition (opens new window)
- https://github.com/alexeygrigorev/mlbookcamp-code (opens new window)
- https://github.com/huggingface (opens new window)
# JupyterNotebook
- https://github.com/jupyterlab/jupyterlab (opens new window)
- https://github.com/jupyter (opens new window)
- https://github.com/markusschanta/awesome-jupyter (opens new window)
- jupyter notebook中%与!的区别 (opens new window)
- https://github.com/zjffdu/zeppelin-notebook (opens new window)
# 开源实现
- https://github.com/Tencent/ncnn (opens new window)
- https://github.com/onnx/onnx (opens new window)
- https://github.com/ARM-software/ComputeLibrary (opens new window)
- https://github.com/apache/incubator-mxnet (opens new window)
- https://github.com/apache/incubator-systemml (opens new window)
- https://github.com/tensorflow/tensorflow (opens new window)
- https://github.com/Microsoft/CNTK (opens new window)
- https://github.com/deepmind/lab (opens new window)
- https://github.com/pytorch/pytorch (opens new window)
- https://github.com/OpenNMT (opens new window)
- https://github.com/scikit-learn/scikit-learn (opens new window)
- https://github.com/xianyi/OpenBLAS (opens new window)
- https://github.com/Theano/Theano (opens new window)
- https://github.com/intel/caffe (opens new window)
- https://github.com/BVLC/caffe (opens new window)
- https://github.com/torch/torch7 (opens new window)
- https://github.com/microsoft/lightgbm-transform (opens new window)
- crnn https://github.com/meijieru/crnn.pytorch (opens new window)
- https://github.com/Megvii-BaseDetection/YOLOX (opens new window)
- Psenet https://github.com/WenmuZhou/PSENet.pytorch (opens new window)
- 语言模型实现 https://github.com/lukhy/masr (opens new window)
- NLP资源库 https://github.com/fighting41love/funNLP (opens new window)
- 实时语音克隆 https://github.com/CorentinJ/Real-Time-Voice-Cloning (opens new window)
- https://github.com/babysor/Realtime-Voice-Clone-Chinese (opens new window)
- https://github.com/babysor/MockingBird (opens new window)
- https://github.com/cnlinxi/book-text-to-speech (opens new window)
- 视频抠图 https://github.com/PeterL1n/RobustVideoMatting (opens new window)
- https://github.com/senguptaumd/Background-Matting (opens new window)
- 提高分辨率 https://github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement (opens new window)
- 图片降噪 https://github.com/google-research/multinerf (opens new window)
- https://github.com/CompVis/latent-diffusion (opens new window)
- 换脸 https://github.com/iperov/DeepFaceLab (opens new window)
- 视频制作 https://github.com/elebumm/RedditVideoMakerBot (opens new window)
- https://github.com/opencv (opens new window)
- https://github.com/ainize-team (opens new window)
- 动手学深度学习 https://github.com/d2l-ai (opens new window)
- 视频感知 https://github.com/open-mmlab/mmtracking (opens new window)
- https://github.com/scikit-learn/scikit-learn (opens new window)
- 数据管道 https://github.com/orchest (opens new window)
- 数据科学Web https://github.com/plotly/dash (opens new window)
- 扫描PDF https://github.com/baicunko/scanyourpdf (opens new window)
- 签名 https://github.com/SigmaHQ/sigma (opens new window)
# OCR
- https://github.com/topics/ocr (opens new window)
- https://github.com/topics/ocr-recognition (opens new window)
- https://github.com/search?q=ocr (opens new window)
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
apt install libgl1-mesa-glx
debianyum install mesa-libGL-devel
centos
Could not find library geos_c or load any of its variants ['libgeos_c.so.1', 'libgeos_c.so']
apt install libgeos-dev
debianyum install geos-devel
centos
- https://github.com/PearOCR (opens new window)
- https://github.com/alisen39/TrWebOCR (opens new window)
pip3 install libtorch numpy opencv-python Pillow tornado
- https://github.com/ianzhao05/textshot (opens new window)
- https://github.com/ouyanghuiyu/chineseocr_lite (opens new window)
pip3 install tornado numpy opencv_python onnxruntime Shapely pyclipper Pillow
- https://github.com/chineseocr (opens new window)
- https://github.com/Greedysky/TTKOCR (opens new window)
- https://github.com/tesseract-ocr/tesseract (opens new window)
- 百度飞桨 https://github.com/PaddlePaddle/PaddleOCR (opens new window)
- https://github.com/miaomiaosoft/PandaOCR (opens new window)
- https://github.com/WenmuZhou/PytorchOCR (opens new window)
- https://github.com/microsoft/unilm (opens new window)
- 语音识别 github.com/microsoft/NeuralSpeech
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