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The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification.

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DECAF DECAF: Deep Extreme Classification with Label Features @InProceedings{Mittal21, author = "Mittal, A. and Dahiya, K. and Agrawal, S. and Sain

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To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.

手势交互地图 GBIM(Gesture-Based Interaction map)，基于视觉深度神经网络的交互地图，通过电脑摄像头观察使用者的手势变化，进而控制地图进行简单的交互。网络使用PaddleX提供的轻量级模型PPYOLO Tiny以及MobileNet V3 small，使得整个模型大小约10MB左右，即使在CPU下也能快速定位和识别手势。

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What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss

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TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

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Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including obl

Orange Data Mining Orange is a data mining and visualization toolbox for novice and expert alike. To explore data with Orange, one requires no program

NLP Translation and Classification The repository contains a method for classifying and cleaning text using NLP transformers. Overview The input data

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Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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Mail classification with tensorflow and MS Exchange Server (ham or spam).

BaseCls BaseCls 是一个基于 MegEngine 的预训练模型库，帮助大家挑选或训练出更适合自己科研或者业务的模型结构。 文档地址：https://basecls.readthedocs.io 安装 安装环境 BaseCls 需要 Python = 3.6。 BaseCls 依赖 M

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napkinXC napkinXC is an extremely simple and fast library for extreme multi-class and multi-label classification, that focus of implementing various m

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