Deathn0t
PhD student in AI at Argonne National Laboratory & Université Paris-Saclay. Working on AutoML.
Paris, France
Deathn0t's Stars
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
ml-explore/mlx
MLX: An array framework for Apple silicon
snakemake/snakemake
This is the development home of the workflow management system Snakemake. For general information, see
anyoptimization/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
HIPS/Spearmint
Spearmint Bayesian optimization codebase
JasperSnoek/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
uqfoundation/pathos
parallel graph management and execution in heterogeneous computing
keras-team/keras-core
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
jeshraghian/snntorch
Deep and online learning with spiking neural networks in Python
xorbitsai/xorbits
Scalable Python DS & ML, in an API compatible & lightning fast way.
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
mlco2/codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
h2non/jsonpath-ng
Finally, a JSONPath implementation for Python that aims to be standard compliant. That's all. Enjoy!
lfwa/carbontracker
Track and predict the energy consumption and carbon footprint of training deep learning models.
iosband/ts_tutorial
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
libprima/prima
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
balajiln/mondrianforest
Code for Mondrian Forests (for classification and regression)
Farama-Foundation/MO-Gymnasium
Multi-objective Gymnasium environments for reinforcement learning
data-apis/array-api
RFC document, tooling and other content related to the array API standard
Evolutionary-Intelligence/pypop
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
jbms/sphinx-immaterial
Adaptation of the popular mkdocs-material material design theme to the sphinx documentation system
automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
pyensemble/wildwood
Advanced random forest methods in Python
zi-w/Ensemble-Bayesian-Optimization
Code repository for Ensemble Bayesian Optimization
Didayolo/ranky
Compute rankings in Python.
cobyqa/cobyqa
A derivative-free solver for general nonlinear optimization.
exsitu-projects/ilatex
📄 i-LaTeX is a prototypal LaTeX editor with interactive code representations we call transitionals.
mvaldenegro/UncertaintyML-course-ESSAI-labs
Lab material/code for the Uncertainty Quantification in Machine Learning Course @ ESSAI 2023, using Keras-Uncertainty and Pyro.
al-jshen/prfr
Probabilistic random forest regression algorithm