Pinned Repositories
AI-sec1
gpukernel
Kernel Approximation using GPUs
Libra-CAM
Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
math4ml
Notes on mathematical topics that pertain to machine learning
MC-ATON
Improving the Robustness of Model Compression by On-Manifold Adversarial Training
sanglee's Repositories
sanglee/Libra-CAM
Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration
sanglee/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
sanglee/AI-sec1
sanglee/math4ml
Notes on mathematical topics that pertain to machine learning
sanglee/MC-ATON
Improving the Robustness of Model Compression by On-Manifold Adversarial Training
sanglee/AFT
sanglee/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
sanglee/BDS_WS
Biomedical Data Science Winter School
sanglee/BIML-2024
BIML-2024
sanglee/BIML2021
BIML2021 Introduction to SVM
sanglee/caffe-mc-opencl
Caffe Deep Learning Software with Model Compression by Sparse Coding (Backend: OpenCL)
sanglee/collateral-learning
Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
sanglee/coursera-Applied-Data-Science-with-Python
Repository for coursera specialization Applied Data Science with Python by University of Michigan
sanglee/DAF
sanglee/Devectorize.jl
A Julia framework for delayed expression evaluation
sanglee/dotemacs
My .emacs and .bash_profile configuration (for syncing between computers)
sanglee/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
sanglee/FHC
Federated Hypersphere Classifier
sanglee/hands_on_julia
sanglee/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
sanglee/JuMP.jl
Modeling language for Mathematical Programming (linear, mixed-integer, conic, nonlinear)
sanglee/Knet.jl
sanglee/LineSearches.jl
Line search methods for optimization
sanglee/Mocha.jl
Deep Learning framework for Julia
sanglee/MXNet.jl
MXNet Julia Package - flexible and efficient deep learning in Julia
sanglee/Optim.jl
Optimization functions for Julia
sanglee/Relevance-CAM
The official code of Relevance-CAM
sanglee/sampling-manifold-restricted-gaussians
Sampling from manifold-restricted Gaussians.
sanglee/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
sanglee/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book