JCSadeghi's Stars
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
MrGemy95/Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
the-turing-way/the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
GPflow/GPflow
Gaussian processes in TensorFlow
ilkarman/DeepLearningFrameworks
Demo of running NNs across different frameworks
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
tegg89/SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
rafaelbailo/betterposter-latex-template
LaTeX Template for Mike Morrison's #betterposter
acmi-lab/cmu-10717-the-art-of-the-paper
Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
cossan-working-group/OpenCossan
OpenCossan is an open and free toolbox for uncertainty quantification and management.
PredictiveScienceLab/pysmc
Sequential Monte Carlo working on top of pymc
decc/twenty-fifty
The old web front end to the DECC 2050 Pathways Calculator Excel Model. The new code is at https://github.com/decc/twenty-fifty-new-look. See the old code working at: http://old-interface.2050.org.uk
fiveai/detection_calibration
[ECCV 2024 - Oral Presentation] Python library that provides tools for calibrating object detectors and evaluating them
agarbuno/modelacion-bayesiana
Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM
fiveai/hardest
The HARDness ESTimation package: A library for ranking images from a dataset by hardness with respect to a specific detector.
agarbuno/aprendizaje-estadistico
Notas para el curso de licenciatura de Aprendizaje Estadistico @ ITAM
etheban/OpenCossan
OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, optimization, robust design and much more. Released under the LGPL license, the engine can be used, modified and redistributed free of charge. It is supported by an extensive documentation and tutorials.
marcodeangelis/intervals
A library for interval computing in Python.
projectlouis/mlbenchmark
Benchmarking Open Source ML Frameworks (TF, Theano, MXNet, & Caffe).
agarbuno/bayesreg
Tutorial slides on bayesian regression models
craigiedon/CarlaStuff
Rare Event Sampling for Safety Verification within the CARLA simulator
uncertainty-for-engineers/uncertainty-modelling-for-engineers
An ebook for engineering uncertainty quantification
marcodeangelis/Fourier-transform
Fourier transform code for interval (or gappy) signals.
FriesischScott/python-template
My base setup for a new python project.
Ullrika/TBDL2017
Tutorial on quantification of uncertainty using data and experts - BayesDays Liverpool 2017
zenotech/UQM-Workshop
Files for the UQ&M workshop at Warwick December 2017