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Name: Dai Nguyen
Type: User
Name: Dai Nguyen
Type: User
🧑🏫 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, ... 🧠
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
10 Weeks, 20 Lessons, Data Science for All!
Deep Learning Specialization by Andrew Ng on Coursera.
PyTorch implementations of deep reinforcement learning algorithms and environments
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Database schema for e-commerce (webstores) sites.
A simple application for the getting started guide in Docker's documentation
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Deep Learning for humans
Keras/Pytorch implementation of N-BEATS
N-BEATS is a ServiceNow Research project that was started at Element AI.
N-Beats library implementation
Code samples for my book "Neural Networks and Deep Learning"
Repository to store sample python programs for python learning
The "Python Machine Learning (1st edition)" book code repository and info resource
Various tutorials on how to use Python. Created in Jupyter Notebooks.
Deep Learning (with PyTorch)
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PyTorch Tutorial for Deep Learning Researchers
PyTorch Tutorials from my YouTube channel
Source from the Microsoft .NET Reference Source that represent a subset of the .NET Framework
scikit-learn: machine learning in Python
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.