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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Fetching Financial DataFetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.
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Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
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Qutip NotebooksA collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.
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Covid19Analyses about the COVID-19 virus
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NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
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Stanford Cs229Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
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DrlDeep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
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Zhihu Spider一个获取知乎用户主页信息的多线程Python爬虫程序。
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WorkshopAI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
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ReferReferring Expression Datasets API
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UnetU-Net Biomedical Image Segmentation
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CoronawatchnlNumbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.
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Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
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DynasentDynaSent: Dynamic Sentiment Analysis Dataset
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Face RecognitionFace recognition and its application as attendance system
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GpqA collection of tools for mining government data
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Data XThis repository is for the Data-X project materials
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RUsing R with Jupyter / RStudio on Binder
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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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SiteCourse materials for the Automating GIS processes -course, University of Helsinki, Finland
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SpanetSpatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
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Robust representationsCode for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
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Monthly ChallengesRepository containing monthly challenges about quantum computing.
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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Data Structure And Algorithm Using PythonIn computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. (Using Python 3)
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Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And GanProject analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Stars: ✭ 150 (-1.32%)
LmkorPretrained Language Models for Korean
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