A framework for data augmentation for 2D and 3D image classification and segmentation

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

Awesome GAN for Medical Imaging

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

a HDF5-based python pickle replacement

Basic Machine Learning and Deep Learning

吴恩达老师的机器学习课程个人笔记

Coding the Machine Learning Tutorial for Learning to Learn

Deep Learning for humans

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

🤘 awesome-semantic-segmentation

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …

🎨 A CNN visualizer

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

📡 Simple and ready-to-use tutorials for TensorFlow

中文版 Awesome VS Code

《机器学习》（西瓜书）公式详解

Keras implementation of RetinaNet object detection.

A Capsule Implement with Pure Keras

Convert trained PyTorch models to Keras, and the other way around

Keras implementation of Deeplab v3+ with pretrained weights

Manage complex tmux sessions easily

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

笔试面试知识整理

Using slim to perform batch normalization

This repo contains all of my TensorFlow tutorials