kastnerkyle Goto Github PK
Name: Kyle Kastner
Type: User
Bio: computers and music are fun Twitter: @kastnerkyle
Name: Kyle Kastner
Type: User
Bio: computers and music are fun Twitter: @kastnerkyle
A collection of pre-trained RL agents using Stable Baselines
A sandbox for playing with RL
Experimental dump of R-MelNet related code and demo files
Recurrent Neural Network with Connectionist Temporal Classifical implemented in Theano. Includes a Toy training example.
A recurrent neural network library for sequence learning problems.
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
Samples and visualization of a small test for speech synthesis - see the paper at http://www.josesotelo.com/speechsynthesis/
Reading and Writing Electronic Text Example Code
RWKV v2 is a RNN with transformer-level performance. It can be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Spatially Adaptive Computation Time for Residual Networks
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
An implementation of Zhang and Sclaroff's Boolean Map Saliency algorithm. http://cs-people.bu.edu/jmzhang/BMS/BMS_iccv13_preprint.pdf.
Converts photos into sand artworks
Toy implementations of things which may (or may not) grow into something else
Playing around with machine learning.
Standalone experiments
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
Python implementation of Symbolic Aggregate approXimation
A cover version of the "Angry Birds" game used for research purposes
Reference implementation of a two-level RCN model
scikit-learn: machine learning in Python
Pairwise Multiple Comparisons Post-hoc Tests
Python library for multilinear algebra and tensor factorizations
Slides and code for SciPy 2013 talk - "A Gentle Introduction To Machine Learning"
Content presented at the 2013 SciPy conference
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Scikit-Learn tutorial material for Scipy 2015
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.