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ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ai_projects icon ai_projects

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

brats_keras icon brats_keras

use keras to implement 3d/2d unet for brats2015 dataset to segment

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

deeplearning-500-questions icon deeplearning-500-questions

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[email protected] 版权所有,违权必究 Tan 2018.06

kiu-net-pytorch icon kiu-net-pytorch

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020

mlnd icon mlnd

Udacity Machine Learning Nano Degree Courses

models icon models

Models and examples built with TensorFlow

pytorch-loss icon pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

texture-vs-shape icon texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

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