Stars
Awesome multilingual OCR and Document Parsing toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools,…
deep learning for image processing including classification and object-detection etc.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
image classification using pytorch-project-template, train a model of classification easily by modifying a json configuration
Simple samples for TensorRT programming
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
Implement Halcon's sheet-of-light 3D laser triangle reconstruction demo with OpenCV
Image augmentation for machine learning experiments.
Implementation and experiments of graph embedding algorithms.
Efficient Preprocessor of Assembly Code to Detect Software Weakness with CNN
intelpt / winafl-intelpt
Forked from googleprojectzero/winaflA fork of AFL for fuzzing Windows binaries
Publication-ready NN-architecture schematics.
keras implement of transformers for humans
Jdit is a research processing oriented framework based on pytorch. The docs is here!
计算机应用与编程实践，作业备份，数据量大了是真的恶心。。。
Malware Detection and Classification Using Machine Learning
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
PyTorch Tutorial for Deep Learning Researchers