zhang-wen-jun Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

book-mathematical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

deep-reinforcement-learning-algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

dsb2

efficient-neural-network-bilibili

B站Efficient-Neural-Network学习分享的配套代码

envfed

code for

federated-learning-with-local-differential-privacy

Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.

fedgen

Code and data accompanying the FedGen paper

fedvisual_dataset

The dataset for paper FedVisual: Heterogeneity-Aware Model Aggregation for Federated Learning in Visual-Based Vehicular Crowdsensing

feed-forward-neural-network

Feed Forward Neural Network for Twitter Sentiment Analysis Dataset

folium

Python Data. Leaflet.js Maps.

gpt-3

GPT-3: Language Models are Few-Shot Learners

grouprox

FedGroup, A Clustered Federated Learning framework based on Tensorflow

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

introdl

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

lam-raw-data-preprocessor

A simple program that can be used to fetch and preprocess raw traffic flow data from Finnish LAM-sensors.

machine-learning-andrew-exercise

This is about the exercises and answers for the course Machine Learning taught by Prof. Andrew Ng in Stanford University

mbti-classification-with-bert

numpy-100

100 numpy exercises (100% complete)

opacus

Training PyTorch models with differential privacy

pfl-non-iid

Personalized federated learning simulation platform with non-IID and unbalanced dataset

python-cartopy

python cartopy maps

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-cifar

95.47% on CIFAR10 with PyTorch

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

the-one

The Opportunistic Network Environment simulator

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.