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Experiments on learning controllers and mining specifications using neural networks, i.e. LSTMs, GANs, etc...
This program simulates small robots, each one is controlled by a recurrent artificial neural network.
Neural Network controled Flappy Brid
Deep neural network kernel for Gaussian process
Neural network controler.
measures to assess frequency-weighted instantaneous energy
Course Project in IE529: Stats of Big data & Clustering, 2017 Fall, UIUC
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Machine learning, in numpy
AADL model processor: mappings to code (C, Ada); Petri Nets; scheduling tools (MAST, Cheddar); WCET; REAL
OctNet: Learning Deep 3D Representations at High Resolutions
A programmable and highly maneuverable robotic cat for STEM education and AI-enhanced services.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT
ESC: Dataset for Environmental Sound Classification - paper replication data
The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
Semi-supervised learning with graph embeddings
PolyORB provides a uniform solution to build distributed applications relying either on middleware standards
PolyORB-HI/Ada runtime for Ocarina
neural network controlled creatures, evolving in a predator-prey enviroment
A course in reinforcement learning in the wild
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Curated list of project-based tutorials
A repository of some of the code I've experimented with/written for projects including, but not limited to, Arduino, Raspberry Pi, Kinect etc.
:pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)
Temporal logic implementation for verifying correctness properties of multiagent protocols
Python library for working with Metric Temporal Logic (MTL)
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
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.