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statsmodels / statsmodels

Star 7.5k
Open

ENH: Improvements to new ARIMA-type estimators

11
ChadFulton
ChadFulton commented Sep 11, 2019

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

  • Documentation (none was added in original PR).
  • Release notes.
  • Example notebook.
  • Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace
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comp-tsa type-enh good first issue
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Alro10 / deep-learning-time-series

Star 1.8k

List of papers, code and experiments using deep learning for time series forecasting

deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions
  • Updated Jun 28, 2022
  • Jupyter Notebook

RubixML / ML

Sponsor
Star 1.6k

A high-level machine learning and deep learning library for the PHP language.

php data-science machine-learning natural-language-processing algorithm ai deep-learning neural-network analytics clustering cross-validation regression prediction artificial-intelligence classification rubix machine-learning-library feature-vector hidden-layers anomaly-detection classification-trees regression-trees php-ml php-ai php-machine-learning
  • Updated Jul 9, 2022
  • PHP

upb-lea / reinforcement_learning_course_materials

Star 739

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

python machine-learning tutorial control course latex reinforcement-learning course-materials jupyter prediction teaching lecture jupyter-notebooks lecture-notes teaching-materials online-learning open-education open-education-resources open-educational-resources online-videos
  • Updated Jun 15, 2022
  • Jupyter Notebook

ahmetozlu / vehicle_counting_tensorflow

Star 722

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

python opencv data-science machine-learning deep-neural-networks computer-vision deep-learning tensorflow detection image-processing prediction object-detection vehicle-tracking vehicle-detection vehicle-counting color-recognition speed-prediction vehicle-detection-and-tracking tensorflow-object-detection-api object-detection-label
  • Updated Sep 11, 2021
  • Python

gocrane / crane

Star 673

PaddlePaddle / Serving

Star 651
Open

BUG:operator数组越界异常

2
MarsOu1995
MarsOu1995 commented May 31, 2022

在尝试本地服务化部署的时候，日志抛出数组越界异常
image
代码：

midped_batch = []
for idx in range(len(feed_batch)):
    predict_res, error_code, error_info = func_timeout.func_timeout(
        self._timeout,
        self.process,
        args=([feed_batch[idx]], typical_logid))
    #midped_batch[idx].append
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good first issue
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LastAncientOne / Deep-Learning-Machine-Learning-Stock

Star 613

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

data-science machine-learning deep-learning neural-network trading algorithms prediction feature-selection feature-extraction stock-market stock-price-prediction technical-analysis stock-data feature-engineering stock-prices stock-prediction stock-analysis financial-engineering stock-trading features-extraction
  • Updated Jul 8, 2022
  • Jupyter Notebook

acredjb / FBP

Star 385

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

algorithm machine-learning-algorithms football-simulation prediction football advantage fbp prediction-model lottery-tickets footballpredictor lottery-program football-lottery
  • Updated May 30, 2022

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