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Flow's Projects

algo icon algo

数据结构和算法必知必会的50个代码实现

autogluon icon autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

catboost icon 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.

d2l-mindspore icon d2l-mindspore

《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。

d2l-zh icon d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

gluonts icon gluonts

Probabilistic time series modeling in Python

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

skforecast icon skforecast

Time series forecasting with scikit-learn models

sos4nlp icon sos4nlp

Survey of Surveys for Natural Language Processing (SOS4NLP)

tsai icon tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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