Multivariate Time Series Models In KerasThis repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
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Few Shot Text ClassificationCode for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop
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Nf JaxNormalizing Flows in Jax
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Deep Residual UnetResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
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Detection Hackathon Apt29Place for resources used during the Mordor Detection hackathon event featuring APT29 ATT&CK evals datasets
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Notebooktowebapp💭 This is the accompanying repo for my article on converting a Jupyter Notebook to a streamlit web app.
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Text objsegCode release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016
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BiggansarewatchingAuthors official implementation of "Big GANs Are Watching You" pre-print
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Viz torch optimVideos of deep learning optimizers moving on 3D problem-landscapes
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Fastai Audiocollaborative audio module for fast.ai
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American GutAmerican Gut open-access data and IPython notebooks
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Ml Cv机器学习实战
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Octconv TfkerasUnofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
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Zh Nlp Demo自然语言处理NLP在中文文本上的一些应用,如文本分类、情感分析、命名实体识别等
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Rl Movie RecommenderThe purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
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LibpysalCore components of Python Spatial Analysis Library
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Sphinx Book ThemeA lightweight book theme built off of the pydata sphinx theme
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TutorialsTutorials on optimization and coding skills
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Data cleaning workshopCreated the contents of this repo originally for a workshop I gave at UCLA
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GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
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Aureliengeron“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.
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AlmondA Scala kernel for Jupyter
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ConvgpConvolutional Gaussian processes based on GPflow.
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CirrusServerless ML Framework
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Local light field synthesisLocal Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)
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DopamineDopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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QatmCode for Quality-Aware Template Matching for Deep Learning
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Manifold LearningIntroduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
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NobslanotebooksJupyter notebooks with exercises for the No bullshit guide to linear algebra.
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Data scienceNotebooks de análises e projetos de Data Science em Python
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TutorialsAll of the code for my Medium articles
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GansGANs in slanted land
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Cbe20255Introduction to Chemical Engineering Analysis
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Cs224n 2019Stanford cs224n 2019 homework
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TutorialsThis is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...
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Quant atPython version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders
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FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
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KglabGraph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.
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