mengyaowunotavailable Goto Github PK
Name: Mengyao Wu
Type: User
Name: Mengyao Wu
Type: User
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018
networking
Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
The service for the demonstration of transforms in Albumentations library
The Abstraction and Reasoning Corpus
Deep learning to train an autonomous vehicle to mimic human driving
Training framework for conditional imitation learning
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
SAT and Answer Set solver for probability distribution-aware model sampling and multi-models optimization using Differentiable Satisfiability. :::::: Use cases: Probabilistic SAT solving, Probabilistic Answer Set Programming (Probabilistic ASP), ... ::::::
Donkeycar neural network model visualization
Open source hardware and software platform to build a small scale self driving car.
for sharing files
Decision Making in Dense Traffic using Deep Q-Learning
Code for Federated Learning with Matched Averaging, ICLR 2020.
A tree-based federated learning system
A new Reinforcement Learning Environment
A minimalist environment for decision-making in autonomous driving
Incremental Learning Event Definitions
Reimplementation of VFDT and EFDT. Our codebase is simple, concise, easy to reproduce with strong performances.
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Script, tools, links and other resources for using Nvidia Jetson Nano boards.
flask with various ML training, model merge, transfer learning functions inside container
Repo for instructions on setting up a micro compute cluster with the NVidia Jetson Nano boards and potentially Ansible playbooks for configuration and setup.
Simple stochastic weight averaging callback for Keras
Must-read papers on knowledge graph reasoning
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.