100 Days Of ML Code
100 Days of Machine Learning Coding
Making Alexa respond to Sign Language using Tensorflow.js
A project to make Amazon Echo respond to sign language using your webcam
Using your audience as a hive mind for deep learning
A Vectorized processing toolset for compiling and evaluating expressions on Apache Arrow data. It uses LLVM for doing just-in-time compilation of the expressions.
Utils for streaming large files (S3, HDFS, gzip, bz2…)
Starry brings amazingly 1-2ms response time to Apache Spark when you deploy spark application with local mode.
A python package for animating plots build on matplotlib.
a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist’s thoughts throughout the training process
Support Vector Machine (SVM) Explorer
Interactive SVM Explorer, using Dash and scikit-learn
Structured Self Attention
A Structured Self-attentive Sentence Embedding
A PyTorch Implementation of “Neural Arithmetic Logic Units”
Implementation of adversarial attacks and defences.
A stacked generalization framework. Built on top of scikit learn
The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models.
Machine learning library, written in J. Various algorithm implementations, including MLPClassifiers, MLPRegressors, Mixture Models, K-Means, KNN, RBF-Network, Self-organizing Maps.