Pinned Repositories
Algorithm_Coursera_Stanford
awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
awesome-deep-learning-papers
The most cited deep learning papers
awesome-Federated-Learning
federated-learning
Awesome-Federated-Learning-Papers
:closed_book: :sunglasses: Mostly a collection of research papers categorized into broad topics in federated learning.
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
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.
MLBD
Materials for "Machine Learning on Big Data" course
papers
:paperclip: Summaries of papers on deep learning
UCSanDiego_DataStructure
In this online course, I will use and analyze data structures such as linked lists, trees, and hashtables. I also argue and evaluate algorithmic performance by applying asymptotic Big-O analysis.
saigontrade88's Repositories
saigontrade88/Python-API-Development-Fundamentals
Develop a full-stack web application with Python and Flask
saigontrade88/AML-XAI-Project
saigontrade88/apbench
APBench: A Unified Availability Poisoning Attack and Defenses Benchmark
saigontrade88/Books
This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.
saigontrade88/Coursera_First_Web_App_Flask
This is my work by following a project based course on Coursera
saigontrade88/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
saigontrade88/fabric-snippets
Contains snippets that are commonly used across many FABRIC notebooks.
saigontrade88/fabrictestbed-extensions
Extensions for the fabric APUI/CLI.
saigontrade88/Federated-Learning-with-Python
saigontrade88/FedML
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
saigontrade88/FedShare
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
saigontrade88/Hands-On-Generative-Adversarial-Networks-with-Keras
Hands-On Generative Adversarial Networks with Keras, published by Packt
saigontrade88/Hands-On-Generative-Adversarial-Networks-with-PyTorch-1.x
Hands-On Generative Adversarial Networks with PyTorch 1.x, Published by Packt
saigontrade88/jupyter-examples
Templates for Jupyter notebooks
saigontrade88/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
saigontrade88/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
saigontrade88/Machine_Learning
A collection of Machine Learning Study
saigontrade88/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
saigontrade88/mildlyoverfitted
Paper implementations from scratch and machine learning tutorials
saigontrade88/neural-tangents
Fast and Easy Infinite Neural Networks in Python
saigontrade88/NeuralTangentKernel-Papers
Neural Tangent Kernel Papers
saigontrade88/ng-video-lecture
saigontrade88/Papers-of-Robust-ML
Related papers for robust machine learning
saigontrade88/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
saigontrade88/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
saigontrade88/pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
saigontrade88/simple-fl
This repository contains a simplified federated learning codebase designed mainly for personal or educational purposes. You can use the code from this repo for a commercial use too. However, we will not be responsible for any issues, or damages caused by using the code. For TieSet's official version of STADLE platform, please visit www.stadle.ai
saigontrade88/TCT
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
saigontrade88/Unlearnable-Examples
[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
saigontrade88/vietnamese-comment-sentiment-analysis