Pinned Repositories
2021-pydantic
a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Advanced-Natural-Language-Processing-with-TensorFlow-2
Advanced Natural Language Processing with TensorFlow 2, published by Packt
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, ... 🧠
MLPrague-2022
mri
neuronsw
nlp
pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
python
Python Machine Learning Codes
mmlynarik's Repositories
mmlynarik/2021-pydantic
mmlynarik/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, ... 🧠
mmlynarik/awesome-public-datasets
A topic-centric list of HQ open datasets.
mmlynarik/MLPrague-2022
mmlynarik/mri
mmlynarik/neuronsw
mmlynarik/nlp
mmlynarik/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
mmlynarik/python
Python Machine Learning Codes
mmlynarik/python-weekend-ba-task
Entry task assignment for python weekend in Bratislava 27.8.2021 | https://pythonweekend.cz/
mmlynarik/uss-hiring-tasks
Tasks used un uss hiring process
mmlynarik/code
Example application code for the python architecture book
mmlynarik/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.
mmlynarik/data-lovers
A place to share our code, best practice, ask for help, fix, reviews etc.
mmlynarik/django-api-domains
A pragmatic styleguide for Django API Projects
mmlynarik/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
mmlynarik/fastapi-course
mmlynarik/fastapi-plotly-dash
Sample application running a Dash app in a FastAPI server
mmlynarik/fastapi-sqlmodel-alembic
Sample FastAPI project that uses async SQLAlchemy, SQLModel, Postgres, Alembic, and Docker.
mmlynarik/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
mmlynarik/makemore
An autoregressive character-level language model for making more things
mmlynarik/materials
Bonus materials, exercises, and example projects for our Python tutorials
mmlynarik/name-matching
Automated name matching
mmlynarik/nmt
TensorFlow Neural Machine Translation Tutorial
mmlynarik/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
mmlynarik/orjson
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
mmlynarik/pyweekend_ba2021
mmlynarik/r4cppp
Rust for C++ programmers
mmlynarik/sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
mmlynarik/stable-diffusion
A latent text-to-image diffusion model