statmlben's Stars
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
Transpile-AI/ivy
The Unified AI Framework
guipsamora/pandas_exercises
Practice your pandas skills!
jackzhenguo/python-small-examples
告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
retorquere/zotero-deb
Packaged versions of Zotero and Juris-M for Debian-based systems
qpsolvers/qpsolvers
Quadratic programming solvers in Python with a unified API
LeoGrin/tabular-benchmark
leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
yzhao062/awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
benchopt/benchopt
Making your benchmark of optimization algorithms simple and open
yandex-research/rtdl-revisiting-models
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
HennyJie/BrainGB
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
qpsolvers/qpbenchmark
Benchmark for quadratic programming solvers available in Python
buruzaemon/IntroductionToProbabilityPy
Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
Probability-Statistics-Jupyter-Notebook/probability-statistics-notebook
Probability and Statistics repository for Python code and coursework review
yaowuliu/ACAT
Kaslanarian/liblinear-sc-reading
LIBLINEAR理论与源码解读(已完结)
chunlinli/defuse
Nonlinear Causal Discovery with Confounders
xue-hr/MRcML
R Package applying MRcML methods.
yixuan/temperflow
Efficient Multimodal Sampling via Tempered Distribution Flow
youqiangao/wmmd
Official PyTorch implementation of paper "Word-Level Maximum Mean Discrepancy Regularization for Word Embedding"
J-L-O/SK-Hurt-NCD
Code for "Supervised Knowledge May Hurt Novel Class Discovery Performance"
JiuzhouW/maRRR
Perform multi-cohort multi-variate regression
xue-hr/TScML
For 2ScML method.
benchopt/benchmark_huber_l2
Benchopt benchmark for L2-regularized Huber regression
mykmal/drab
DRAB (differential regulation analysis by bootstrapping) is a method for identifying genes with context-specific patterns of local genetic regulation.