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Miro Mlynarik's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

code icon code

Example application code for the python architecture book

contextualized-topic-models icon contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

data-lovers icon data-lovers

A place to share our code, best practice, ask for help, fix, reviews etc.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

makemore icon makemore

An autoregressive character-level language model for making more things

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

nmt icon nmt

TensorFlow Neural Machine Translation Tutorial

notebooks icon notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

orjson icon orjson

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

pbpython icon pbpython

Code, Notebooks and Examples from Practical Business Python

pointer-generator icon pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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