drasmuss Goto Github PK
Name: Daniel Rasmussen
Type: User
Name: Daniel Rasmussen
Type: User
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Source for drasmussen.ca
Hessian-free optimization for deep networks
Distributed Asynchronous Hyperparameter Optimization in Python
A few utilities for working with hyperopt
Deep Learning for humans
Models built with TensorFlow
Neural model of hierarchical reinforcement learning
Numpy main repository
run minikube in github actions, continuous integration against Kubernetes in github actions.
Spaun (nengo 2.0 version)
The little ASGI framework that shines. 🌟
Computation using data flow graphs for scalable machine learning
YoloV3 Implemented in Tensorflow 2.0
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.