Finde Frameworks zum Trainieren, Bewerten und Ausführen von Modellen und vergleiche das Community-Interesse.
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
Western-OC2-Lab
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Western-OC2-Lab
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
wfondrie
A deep learning toolkit for mass spectrometry
wgcban
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
wherobots
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Basic implementation of BERT and Transformer in Pytorch in one short python file (also includes "predict next word" GPT task)
white127
tensorflow and theano cnn code for insurance QA(question Answer matching)
whitead
Deep learning for molecules and materials book
whyb
一个PyTorch实现的五子棋AI项目(AlphaZero)
WildChlamydia
MiVOLO age & gender transformer neural network
wilhelm-lab
Python framework for Deep Learning in Proteomics
WillKoehrsen
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
wilsonrljr
A Python Package For System Identification Using NARMAX Models
wkentaro
Run SAM 1/2/3, EfficientSAM, YOLO-World and other promptable vision models locally, on CPU, CUDA or CoreML.
wkentaro
ONNX models of YOLO-World (an open-vocabulary object detection).
WLM1ke
Оптимизация долгосрочного портфеля акций
woodrush
"A neural algorithm of Artistic style" in tensorflow
wookayin
💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)
wq2012
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
因为我当时正在用 fast.ai 的 ULMfit 做自然语言分类任务（还专门写了《如何用 Python 和深度迁移学习做文本分类？》一文分享给你）。ULMfit 和 BERT 都属于预训练语言模型（Pre-trained Language Modeling），具有很多的相似性。
wuba
A simple effective ToolKit for short text matching
wufan-tb
Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo
WuHuRestaurant
科大讯飞2020事件抽取挑战赛第一名解决方案&完整事件抽取系统
