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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
KDD Cup 2022-3rd
A comprehensive survey on the time series domains
List of papers, code and experiments using deep learning for time series forecasting
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
标注自己的数据集,训练、评估、测试、部署自己的人工智能算法
An Open Source Machine Learning Framework for Everyone
Natural Language Processing Tutorial for Deep Learning Researchers
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
这是一个利用Keras实现RFBnet的库,RFBnet是SSD的改进版,其整体的结构与SSD相差不大,其主要特点是在SSD的特征提取网络上用了RFB模块。
🤘 awesome-semantic-segmentation
TensorFlow Tutorial and Examples for Beginners (非常好的范例,基于tensorflow)
Models and examples built with TensorFlow
A paper list of object detection using deep learning.
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
台大机器学习课程作业详解