cbakos's Stars
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
dhowe/AdNauseam
AdNauseam: Fight back against advertising surveillance
barbagroup/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
ddemidov/amgcl
C++ library for solving large sparse linear systems with algebraic multigrid method
pdebench/PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
aamini/evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
fuenwang/Equirec2Perspec
A tool to project equirectangular panorama into perspective images
GeoscienceAustralia/anuga_core
AnuGA for the simulation of the shallow water equation
oseledets/TT-Toolbox
The git repository for the TT-Toolbox
PGelss/scikit_tt
Tensor Train Toolbox
AndreiChertkov/teneva
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
ion-g-ion/torchTT
Tensor-Train decomposition in pytorch
drdarshan/ssgetpy
A searchable Python interface to the SuiteSparse Matrix Collection
cbouilla/spasm
a Sparse Direct Solver modulo p
masspastore/overlapping
Estimation of Overlapping in Empirical Distributions.
kbatseli/TNrSVD
Tensor Network randomized SVD
iwoodsawyer/rrqr
Rank-Revealing QR factorization
DirkToewe/srrqr_bin_py
Binary-Search Strong Rank-Revaling QR Decomposition Implemented in Python
Kenrick-Trip/AdaptiveQuantization
Repo for the course CS4215 Quantitative Performance Evaluation for Computing Systems
MartinMichaux/Forecasting-citizenship-acquisition-flow-using-Graph-Neural-Networks