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机器学习 · GitHub

发现模型训练、评估与推理框架,比较深度学习和机器学习项目的社区关注度。

实用 GitHub 项目

7,586 个项目
595星标

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

机器学习PythonBSD-3-ClauseGitHub
688星标

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

475星标

Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.

ltu

YuanGongND

480星标
ltu preview

Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

exposure

yuanming-hu

783星标
exposure preview

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

637星标

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

daisyRec

yudi-mars

550星标

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

33星标
catseye preview

Neural network library written in C and Javascript

  • Just include catseye.h and write your model in c. There is nothing to install.
  • Small dependency & simple implementation
652星标

This repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

机器学习Jupyter NotebookGitHub

PoseFlow

YuliangXiu

442星标
PoseFlow preview

PoseFlow: Efficient Online Pose Tracking (BMVC'18)

  • Dec 2018: PoseFlow(General Version) released! Support ANY DATASET and pose tracking results visualization.
  • Oct 2018: Support generating correspondence files with ORB(OpenCV), 3X FASTER and no need to compile DeepMatching library.