IntromlPython tutorials for introduction to machine learning
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SecSeed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
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ShifteratorInterpretable data visualizations for understanding how texts differ at the word level
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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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ClafCLaF: Open-Source Clova Language Framework
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CatalystAccelerated deep learning R&D
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Gp4aCode for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
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Hardware introductionWhat scientific programmers must know about CPUs and RAM to write fast code.
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LitThe Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
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Hacktoberfest2020 ContributionsA beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨
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WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
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Pyhanlp中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理
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50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
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LingvoLingvo
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Cvx short courseMaterials for a short course on convex optimization.
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LargitdataLargitData Course Material
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
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Polyai ModelsNeural Models for Conversational AI
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M5 MethodsData, Benchmarks, and methods submitted to the M5 forecasting competition
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NbqaRun any standard Python code quality tool on a Jupyter Notebook
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CompstatsCode for a workshop on statistical interference using computational methods in Python.
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Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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KagnetKnowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
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Snippetjust some code snippet
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Ctr nn基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)
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Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
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MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
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FlamlA fast and lightweight AutoML library.
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ConlluA CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.
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Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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MachinelearningnotebooksPython notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
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Gluon ApiA clear, concise, simple yet powerful and efficient API for deep learning.
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