WeiDongdong's starred repositories
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
free-programming-books
:books: Freely available programming books
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
EdmCrack600
The dataset consists of 600 images about pavement cracks taken from roads in Edmonton Canada. They are all annotated at pixel level for crack detection
rethinking_er
Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
continual_learning_papers
Relevant papers in Continual Learning
Awesome-Incremental-Learning
Awesome Incremental Learning
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Adversarial-Continual-Learning
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
ewc.pytorch
An implementation of EWC with PyTorch
pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"