Statistics for topic sklearn
RepositoryStats tracks 518,986 Github repositories, of these 118 are tagged with the sklearn topic. The most common primary language for repositories using this topic is Python (64). Other languages include: Jupyter Notebook (42)
Stargazers over time for topic sklearn
Most starred repositories for topic sklearn (view more)
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股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
Using python and scikit-learn to make stock predictions
Domain adaptation toolbox compatible with scikit-learn and pytorch
A unified framework for tabular probabilistic regression and probability distributions in python
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
Using python and scikit-learn to make stock predictions
Domain adaptation toolbox compatible with scikit-learn and pytorch
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
Machine Learning inference engine for Microcontrollers and Embedded devices
Machine Learning inference engine for Microcontrollers and Embedded devices
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
Domain adaptation toolbox compatible with scikit-learn and pytorch
Machine Learning inference engine for Microcontrollers and Embedded devices
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Ch...
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
Mathematical, Statistics, Medical, Scientific Data Visualization
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.
Domain adaptation toolbox compatible with scikit-learn and pytorch
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
A scikit-learn-compatible module for estimating prediction intervals.
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Conformal classifiers, regressors and predictive systems