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Scaled-YOLOv4: Scaling Cross Stage Partial Network

Matlab Coding homework for Machine Learning

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Library for training machine learning models with privacy for training data

一些关于机器学习的学习资料与研究介绍