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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Hamiltonian NnCode for our paper "Hamiltonian Neural Networks"
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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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Statannotadd statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
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Comp Genomics ClassCode and examples for JHU Computational Genomics class
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DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
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DrkgA knowledge graph and a set of tools for drug repurposing
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Quantiacs PythonPython version of Quantiacs toolbox and sample trading strategies
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Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
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MattnetMAttNet: Modular Attention Network for Referring Expression Comprehension
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Pydqcpython automatic data quality check toolkit
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SocceractionConvert existing soccer event stream data to SPADL and value player actions
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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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Emnlp 2019 PapersStatistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019
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Pandas HighchartsBeautiful charting of pandas.DataFrame with Highcharts
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FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
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Pyschedulepyschedule - resource scheduling in python
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Awesome PandasA collection of resources for pandas (Python) and related subjects.
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Predicting winning teamsThis is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
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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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Dlwpt CodeCode for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
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WassdistanceApproximating Wasserstein distances with PyTorch
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DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
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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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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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PyhessianPyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
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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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StructuredinferenceStructured Inference Networks for Nonlinear State Space Models
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LasioPython library for reading and writing well data using Log ASCII Standard (LAS) files
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BeakerxBeaker Extensions for Jupyter Notebook
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SmtSurrogate Modeling Toolbox
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MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
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JazzmlA (very incomplete) project that combines machine learning with music.
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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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Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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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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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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Nbviewer.jsClient side rendering of Jupyter notebooks
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Aleph starReinforcement learning with A* and a deep heuristic
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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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Learning PysparkCode repository for Learning PySpark by Packt
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