Central Oregon

Pete Walsh

Elite
@epwalsh

Research engineer working on open source LLMs | Python | Rust | Neovim | Life is a changelog, change your life and keep a changelog

obsidian.nvim. Obsidian ๐Ÿค Neovim

6.2k

pomo.nvim. :new: :stopwatch: A simple, customizable pomodoro timer for Neovim, written in Lua, with nvim-notify, lualine, and telescope integrations

309

nlp-models. NLP research experiments, built on PyTorch within the AllenNLP framework.

91

pytorch-crf. :fire: A PyTorch implementation of a Bi-LSTM CRF with character-level features

63

rust-dl-webserver. ๐Ÿฆ€ Example of serving deep learning models in Rust with batched prediction

34

rust-cached-path. ๐Ÿฆ€ Rust utility for accessing both local and remote files through a unified interface

33

dotfiles. Personal dotfiles (alacritty, tmux, neovim, fish)

28

batched-fn. ๐Ÿฆ€ Rust server plugin for deploying deep learning models with batched prediction

22

python-registrable. Python module for registering and instantiating classes by name

13

docker-celery. :whale: A Docker image for a simple Python Celery application

11

CSA. C++ header-only library for Coupled Simulated Annealing

10

allennlp-manager. [WORK IN PROGRESS] Your manager for AllenNLP experiments

7

nlpete. Simple, self-contained, PyTorch NLP models.

4

docker-shiny. :whale: A Docker image for an R Shiny server with username + password authentication :closed_lock_with_key:

4

dataclass-extensions. Additional functionality for Python dataclasses

3

tmux-catppuccin. ๐Ÿ’ฝ Soothing pastel theme for Tmux!

2

beaker-gantry. Gantry streamlines running Python experiments in Beaker by managing containers and boilerplate for you

1

check-links. A command-line utility for finding unreachable links in your crate's documentation

1

promptsource. Toolkit for creating, sharing and using natural language prompts.

1

composer. Train neural networks up to 7x faster

1

allennlp-hacks-project.

1

rust-bert. Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

1

datasets. ๐Ÿค— The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

1

accelerate. ๐Ÿš€ A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

1

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

1

allennlp-issue-4428. Python

1

NvimAutoheader. Automatic header management for Neovim (no longer maintained)

1

fairscale. PyTorch extensions for high performance and large scale training.

1
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