zhang-wen-jun Goto Github PK
Name: Wenjun Zhang
Type: User
Company: Helsinki University
Name: Wenjun Zhang
Type: User
Company: Helsinki University
100 Days of ML Coding
🧑🏫 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, ... 🧠
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
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.
B站Efficient-Neural-Network学习分享的配套代码
code for
Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
Code and data accompanying the FedGen paper
The dataset for paper FedVisual: Heterogeneity-Aware Model Aggregation for Federated Learning in Visual-Based Vehicular Crowdsensing
Feed Forward Neural Network for Twitter Sentiment Analysis Dataset
Python Data. Leaflet.js Maps.
GPT-3: Language Models are Few-Shot Learners
FedGroup, A Clustered Federated Learning framework based on Tensorflow
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
A simple program that can be used to fetch and preprocess raw traffic flow data from Finnish LAM-sensors.
This is about the exercises and answers for the course Machine Learning taught by Prof. Andrew Ng in Stanford University
100 numpy exercises (100% complete)
Training PyTorch models with differential privacy
Personalized federated learning simulation platform with non-IID and unbalanced dataset
python cartopy maps
Python Data Science Handbook: full text in Jupyter Notebooks
95.47% on CIFAR10 with PyTorch
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 Opportunistic Network Environment simulator
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.