BeakerxBeaker Extensions for Jupyter Notebook
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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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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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Awesome PandasA collection of resources for pandas (Python) and related subjects.
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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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Question GenerationGenerating multiple choice questions from text using Machine Learning.
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PyhessianPyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
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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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Nlp made easyExplains nlp building blocks in a simple manner.
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SmtSurrogate Modeling Toolbox
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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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Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
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Dsnd term1Contains files related to content and project of DSND
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Pytorch Transformers ClassificationBased on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
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SocceractionConvert existing soccer event stream data to SPADL and value player actions
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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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Pyschedulepyschedule - resource scheduling in python
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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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DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
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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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Pandas HighchartsBeautiful charting of pandas.DataFrame with Highcharts
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Hamiltonian NnCode for our paper "Hamiltonian Neural Networks"
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Learning PysparkCode repository for Learning PySpark by Packt
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Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
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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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FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
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Comp Genomics ClassCode and examples for JHU Computational Genomics class
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Pydqcpython automatic data quality check toolkit
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DrkgA knowledge graph and a set of tools for drug repurposing
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Snap N EatFood detection and recommendation with deep learning
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MattnetMAttNet: Modular Attention Network for Referring Expression Comprehension
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Cd4ml WorkshopRepository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
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Statannotadd statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
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JazzmlA (very incomplete) project that combines machine learning with music.
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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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LasioPython library for reading and writing well data using Log ASCII Standard (LAS) files
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Jupyterwithdeclarative and reproducible Jupyter environments - powered by Nix
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WassdistanceApproximating Wasserstein distances with PyTorch
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