Mxnet The Straight DopeAn interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
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Aotodata朱小五写文章涉及到的数据分析,爬虫,源数据
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Python Script ExamplesThis repository contains my python (3) script examples that focus on use cases for Network Engineers.
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SmtSurrogate Modeling Toolbox
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Nlp made easyExplains nlp building blocks in a simple manner.
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WorldmodelsAn implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
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DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
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StructuredinferenceStructured Inference Networks for Nonlinear State Space Models
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Dlwpt CodeCode for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
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Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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DatasetsA collection of all my datasets
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Awesome PandasA collection of resources for pandas (Python) and related subjects.
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LasioPython library for reading and writing well data using Log ASCII Standard (LAS) files
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WassdistanceApproximating Wasserstein distances with PyTorch
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Kitti tutorialTutorial for using Kitti dataset easily
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Rl learn我的强化学习笔记和学习材料📖 still updating ... ...
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YoutubeliGithub repo to upload demo files of youtube videos and linkedin
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Jupyterwithdeclarative and reproducible Jupyter environments - powered by Nix
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My tech resourcesList of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful
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Quantiacs PythonPython version of Quantiacs toolbox and sample trading strategies
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BookDeep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
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Pandas HighchartsBeautiful charting of pandas.DataFrame with Highcharts
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Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
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Jsanimation[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations
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DrkgA knowledge graph and a set of tools for drug repurposing
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MattnetMAttNet: Modular Attention Network for Referring Expression Comprehension
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Nbviewer.jsClient side rendering of Jupyter notebooks
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Statannotadd statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
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Pyschedulepyschedule - resource scheduling in python
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Deepnlp Models PytorchPytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
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Introduction To PythonPython is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
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Learning PysparkCode repository for Learning PySpark by Packt
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Aleph starReinforcement learning with A* and a deep heuristic
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DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
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Pydqcpython automatic data quality check toolkit
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Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
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Hamiltonian NnCode for our paper "Hamiltonian Neural Networks"
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Emnlp 2019 PapersStatistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019
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SocceractionConvert existing soccer event stream data to SPADL and value player actions
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Covid Chestxray DatasetWe are building an open database of COVID-19 cases with chest X-ray or CT images.
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Blogfor code created as part of http://studywolf.wordpress.com
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JazzmlA (very incomplete) project that combines machine learning with music.
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PyhessianPyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
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