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algorithms

benchmarking-gnns

Repository for benchmarking graph neural networks

bert

TensorFlow code and pre-trained models for BERT

covid19_ultrasound

Open source lung ultrasound (LUS) data collection initiative for COVID-19.

cs231n.github.io

Public facing notes page

deterministicatomicadd_cuda

To achieve deterministic floating point addtion results, one possible solution might be performing a conversion before and after the add operation. My implementation is converting double to unsigned long long integer in each GPU processor, and then performing atomic addtion. Launching another kernel to sum them up.

genann

simple neural network library in ANSI C

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

imagefilter

WEKA filter that uses LIRE to extract image features

kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

mnist-neural-network-plain-c

A neural network implementation for the MNIST dataset, written in plain C

nlp

scikit-learn

scikit-learn: machine learning in Python

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

twoter_vue

virtual-cycling-simulator

A project that create virtual cycling simulator

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow