Yang Zhang's repositories

lightning-language-modeling

Language Modeling Example with Transformers and PyTorch Lighting

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labse-pytorch

Language-agnostic BERT Sentence Embedding (LaBSE) Pytorch Model

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product_category

Product cateogry prediction

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cb-tutorial-code

Demo code from SIGIR 2016 Tutorial on Counterfactual Evaluation and Learning

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black_pre_commit_example

An example repo using pre-commit git hook for Python code formatter Black

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docker-setup

Docker images and setup instructions.

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

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LeetCode

:pencil2: LeetCode solutions in C++ 11 and Python3

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ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

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shopee-product-matching

https://www.kaggle.com/c/shopee-product-matching

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annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

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aptos2019-blindness-detection

https://www.kaggle.com/c/aptos2019-blindness-detection

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bookcode

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

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course-nlp

A Code-First Introduction to NLP course

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course-v3

The 3rd edition of course.fast.ai - coming in 2019

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fastai

The fastai deep learning library, plus lessons and and tutorials

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fastai_dev

development of the next version of fastai

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fastai_old

OLD REPO - PLEASE USE fastai/fastai

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fastbook

Draft of the fastai book

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head-first-design-patterns-exercise

Head First Design Patterns Exercise

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pytext

A natural language modeling framework based on PyTorch

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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recsys20

http://www.recsyschallenge.com/2020/

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siim-isic-melanoma-classification

https://www.kaggle.com/c/siim-isic-melanoma-classification/

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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understanding_cloud_organization

https://www.kaggle.com/c/understanding_cloud_organization/

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