Deathn0t
PhD student in AI at Argonne National Laboratory & Université Paris-Saclay. Working on AutoML.
Paris, France
Deathn0t's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
unifyai/ivy
The Unified AI Framework
redis/redis-py
Redis Python client
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
DEAP/deap
Distributed Evolutionary Algorithms in Python
awslabs/gluonts
Probabilistic time series modeling in Python
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
spack/spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
huawei-noah/HEBO
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
h5py/h5py
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
hans/obsidian-citation-plugin
Obsidian plugin which integrates your academic reference manager with the Obsidian editor. Search your references from within Obsidian and automatically create and reference literature notes for papers and books.
JoaquinAmatRodrigo/skforecast
Time series forecasting with machine learning models
google-deepmind/tree
tree is a library for working with nested data structures
automl/RoBO
RoBO: a Robust Bayesian Optimization framework
albumentations-team/autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
allenai/cartography
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
zzzeek/sqla_tutorial
Introduction to SQLAlchemy 2020
davidstutz/arxiv-submission-sanitizer-flattener
Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.
spack/spack-tutorial
Standalone Spack Tutorial Repository
automl/pylearningcurvepredictor
predicting learning curves in python
kirthevasank/gp-parallel-ts
Parallelised Thompson Sampling in GPs for Bayesian Optimisation
harvard-edge/dataperf-speech-example
Example workflow for our data-centric speech benchmark
fmohr/lcdb
amazon-science/bo-early-stopping
fmohr/lccv
mochi-hpc-experiments/platform-configurations
This repository provides a set of configuration files and example scripts for running Mochi experiments on various platforms.
deephyper/plasma-python
PPPL deep learning disruption prediction package