brx18's starred repositories
Heterogeneous-Transfer-Learning
This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).
How-to-use-Transformers
Transformers 库快速入门教程
MachineLearning_Python
机器学习算法python实现
Heterogeneous-Transfer-Learning
This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).
LinGCN-Neurips23
Official Implementation of "LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference"
Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
2024-New-Grad-Tech-Jobs
Collection of 2024 tech job opportunities for new grads!
ICCAD-Accel-GCN
Official Implementation of "Accel-GNN: High-Performance GPU Accelerator Design for Graph Neural Networks"
llm-hallucination-survey
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
Summarization Papers
glmnet-python
Wrappers of Jerome Friedman's coordinate-descent Fortran implementation of lasso/elastic net regression from the R "glmnet" package.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
New-Grad-Positions
A collection of New Grad full time roles in SWE, Quant, and PM.
Reweighted-L1-Minimization
Implementation of Iterative Reweighted L1 Minimization
Weighted-l_r-l_1-minimization
Matlab code for "A new nonconvex sparse recovery method for compressive sensing".
SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Comparison-Of-Optimization-Algorithms
# Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Direction Method of Multipliers (ADMM) #
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Coursera-Deep-Learning-deeplearning.ai
（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-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal