A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).

Transformers 库快速入门教程

Official implementation of "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training"

机器学习算法python实现

This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).

Official Implementation of "LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference"

Awesome papers about unifying LLMs and KGs

Collection of 2024 tech job opportunities for new grads!

Official Implementation of "Accel-GNN: High-Performance GPU Accelerator Design for Graph Neural Networks"

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

Summarization Papers

ICML 2020

Wrappers of Jerome Friedman's coordinate-descent Fortran implementation of lasso/elastic net regression from the R "glmnet" package.

PyTorch Tutorial for Deep Learning Researchers

Some algorithms for competitive programming.

A collection of full time roles in SWE, Quant, and PM for new grads.

Implementation of Iterative Reweighted L1 Minimization

Matlab code for "A new nonconvex sparse recovery method for compressive sensing".

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

# Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Direction Method of Multipliers (ADMM) #

吴恩达老师的机器学习课程个人笔记

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

Deep Learning Specialization by Andrew Ng on Coursera.

[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal