James Khan's Projects
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
Advanced Deep Learning with Keras, published by Packt
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
A curated list of deep learning resources for computer vision
:books: A collection of edge/contour/boundary detection papers and toolbox.
A curated list of deep learning image classification papers and codes
Resources for Multiple Object Tracking(MOT)
:metal: awesome-semantic-segmentation
A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
This is a list of papers related to traffic agent trajectory prediction.
Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different parameters and 4 different fault classes, to select optimum parameters for efficient classification. Trained and tested 50 different datasets on different Image-net models to obtain maximum accuracy. Obtained an accuracy of 98% for Binary classification of Inner and Outer race faults on Efficient Net B7 model on just 5 epochs.
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Using Convolutional neural networks for segmenting stroke lesions in brain MRI images.
数据科学竞赛各种baseline代码、思路分享
学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
The 3rd edition of course.fast.ai
This repository will be mainly used for the capstone project.
Deep Learning by deeplearning.ai
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Data competition Top Solution 数据竞赛top解决方案开源整理
该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline,思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
A paper list of object detection using deep learning.
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
A collection of various deep learning architectures, models, and tips
Deep Learning Book Chinese Translation
Code for DiffSTG