NotebooksIPython Notebooks
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Simple Qa Emnlp 2018Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"
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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
Stars: ✭ 87 (-6.45%)
FnnEmbed strange attractors using a regularizer for autoencoders
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Style SemanticsCode for the paper "Controlling Style and Semantics in Weakly-Supervised Image Generation", ECCV 2020
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D3 Js Step By Stephttp://zeroviscosity.com/category/d3-js-step-by-step
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FashionnetFashion recommender system using deep learning
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Mimic CodeMIMIC Code Repository: Code shared by the research community for the MIMIC-III database
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Attention TransferImproving Convolutional Networks via Attention Transfer (ICLR 2017)
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2016 10 Facebook Fact CheckData and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."
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Machine LearningCode & Data for Introduction to Machine Learning with Scikit-Learn
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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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Text objsegCode release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016
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Resnet cnn mri adniCode for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper
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AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
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Lf2gymAn OpenAI-gym-like environment for Little Fighter 2
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Opam tip2018Source code of our TIP 2018 paper "Object-Part Attention Model for Fine-grained Image Classification"
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Viz torch optimVideos of deep learning optimizers moving on 3D problem-landscapes
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VirtualhomeAPI to run VirtualHome, a Multi-Agent Household Simulator
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Python For Data ScientistsDeliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.
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ExportifyExport Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
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DvrlDeep Variational Reinforcement Learning
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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IntrostatlearnExercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
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Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
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Keras Movielens CfA set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.
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WotanAutomagically remove trends from time-series data
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Computational Neuroscience UwPython scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
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One Shot Siamese A PyTorch implementation of "Siamese Neural Networks for One-shot Image Recognition".
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Pix2face3D human face estimation and rendering from a single image
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Deeper Traffic Lights[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence
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SeabornSeaborn 学习笔记
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Hops ExamplesExamples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops
Stars: ✭ 84 (-9.68%)
Notebooks 📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
Stars: ✭ 84 (-9.68%)