Romain Keramitas

Linear Conditional Random Field implementation in Pytorch

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Minimal URL shortening service.

Code for scaling Transformers

Unofficial UR-LSTM implementation in Pytorch

Source code for my blog

Python scripts solving the Advent of Code (2019-2020)

Topic Modelling for Humans

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Slim implementation of the AdaBelief optimizer in Pytorch

Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

Reproduction code for "Putting An End to End-to-End: Gradient-Isolated Learning of Representations"

(Linear-chain) Conditional random field in PyTorch.

The uncompromising Python code formatter

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

Shows the relevant part of NPM module's README file right in your terminal

Server written in Go that computes the prime factor decomposition of integers

Machine learning models for MLonCode trained using the source{d} stack

source{d} datasets ("big code") for source code analysis and machine learning on source code

No description provided.

Python library to share machine learning models easily and reliably.

source{d} MLonCode foundation - core algorithms and models.

Genetic algorithm for solving the multiple travelling salesmen problem

No description provided.

Babelfish Python client

No description provided.

Applications for Kubernetes