temp3rr0r

virtualbow

Software for designing and simulating bows

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

DeepSpeed

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

Megatron-LM

Ongoing research training transformer models at scale

DR-DNN

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

DeepSpeed

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

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.

Open-Assistant

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

PX4-Autopilot

PX4 Autopilot Software

the-algorithm

Source code for Twitter's Recommendation Algorithm

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.

yfinance

Download market data from Yahoo! Finance's API

spektral

Graph Neural Networks with Keras and Tensorflow 2.

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).

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).

keras-deep-graph-learning

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

sysid-transfer-functions-pytorch

dynonet

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

sysid-transfer-functions-pytorch

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

dynonet

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

wfdb-python

Native Python WFDB package

server

The core infrastructure backend (API, database, Docker, etc).

uncertainty-toolbox

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

find-a-ps5

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

HIP

HIP: C++ Heterogeneous-Compute Interface for Portability

phoronix-test-suite

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

octave

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

python-control

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

statsmodels

Statsmodels: statistical modeling and econometrics in Python

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