Yan Kang's repositories
deep-learning-study
Deep learning (DL) materials collected from various sources including Udacity, Coursera, Udemy and many others. I also add my comments, notes and code for various DL topics. The main DL frameworks that I use for coding are Tensorflow, Kears and Theano. I will continue adding more materials and revising existing ones. I will also reorganize this repository if necessary.
lightweight-secure-vfl
Implementation of basic vertical logistic regression and vertical neural network
pytorch_deep_learning
Pytorch tutorial
awesome-deep-learning-papers
The most cited deep learning papers
deep-learning-1
Repo for the Deep Learning Nanodegree Foundations program.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
EAOT
The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"
FedHSSL
Official implementation for the paper: "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning".
machine-learning-general-tools
about numpy, panda, matplotlib and others
machine_learning_examples
A collection of machine learning examples and tutorials.
MachineLearningNanoDegree
Projects from Udacity's Machine Learning Nano Degree Program
Mirror-Sample
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
MixMatch-pytorch
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
paper-reading
深度学习经典、新论文逐段精读
PSL-MOBO
Pareto Set Learning
scikit-learn
scikit-learn: machine learning in Python
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs