temp3rr0r

the-algorithm

Source code for Twitter's Recommendation Algorithm

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

server

Bitwarden infrastructure/backend (API, database, Docker, etc).

yfinance

Download market data from Yahoo! Finance's API

statsmodels

Statsmodels: statistical modeling and econometrics in Python

Megatron-LM

Ongoing research training transformer models at scale

PX4-Autopilot

PX4 Autopilot Software

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

HIP

HIP: C++ Heterogeneous-Compute Interface for Portability

phoronix-test-suite

The Phoronix Test Suite open-source, cross-platform automated testing/benchmarking software.

spektral

Graph Neural Networks with Keras and Tensorflow 2.

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Generative_Deep_Learning_2nd_Edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

wfdb-python

Native Python WFDB package

CodeProject.AI-Server

CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.

octave

GNU Octave Mirror (https://www.octave.org/hg/octave). Report bugs and submit pull requests (patches) at https://bugs.octave.org

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

Diebold-Mariano-Test

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

lhsmdu

This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772

dynonet

"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

virtualbow

Software for designing and simulating bows

sysid-transfer-functions-pytorch

Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"

find-a-ps5

Some simple Airflow pipelines to check and notify for PS5 availability.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Diebold-Mariano-Test

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

DR-DNN

Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting

dynonet

"dynoNet: a neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

sysid-transfer-functions-pytorch