DatageneDataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
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TscvTime Series Cross-Validation -- an extension for scikit-learn
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TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
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Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
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DeeplearningbookRepositório do Deep Learning Book - www.deeplearningbook.com.br
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Uncertainty MetricsAn easy-to-use interface for measuring uncertainty and robustness.
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Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
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Ml代码记录
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Bodywork CoreDeploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀
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Introduccion a python Curso onlineRepositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.
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Machine Learning机器学习&深度学习资料笔记&基本算法实现&资源整理(ML / CV / NLP / DM...)
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Pygm🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage
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IpystataEnables the use of Stata together with Python via Jupyter (IPython) notebooks.
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Fifa 2018 World Cup PredictionsI used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.
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PyengPython for engineers
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Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
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Tf2 courseNotebooks for my "Deep Learning with TensorFlow 2 and Keras" course
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NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
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Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
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PycroscopyScientific analysis of nanoscale materials imaging data
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Ai MatrixTo make it easy to benchmark AI accelerators
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Cs231nhomework for CS231n 2017
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Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
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Python camppython code for pratice
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Libraryufutx share book libraries : share and manage books platform for personal and organization
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Ml From ScratchAll the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
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Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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RobuststlUnofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
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UnetU-Net Biomedical Image Segmentation
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AlphatradingAn workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
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Face RecognitionFace recognition and its application as attendance system
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Efficient AprioriAn efficient Python implementation of the Apriori algorithm.
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Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
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Pytorch tutorialA set of jupyter notebooks on pytorch functions with examples
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Book nbsNotebooks for upcoming fastai book (draft / incomplete)
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Diy AlexaCommand recognition research
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