Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation ana…

A word2vec negative sampling implementation with correct CBOW update.

Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.

Implementing Bert to improve word2gauss model

Repository for thesis project about efficient localization for sparsemax on GPU (will change repository name later)

Bicleaner is a parallel corpus classifier/cleaner that aims at detecting noisy sentence pairs in a parallel corpus.

Train transformer-based models.

NLQuAD: A Non-Factoid Long Question Answering Data Set. To be published at EACL2021

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"

Stochastic Automatic Differentiation library for PyTorch.

Implementation of Sparsemax activation in Pytorch

A microbenchmark support library

Open-Source Machine Translation Quality Estimation in PyTorch

Single-header C++ HTTP request class

A simple guide (and example of configuration) about how to install i3 & its and essentials packages, then make them look eye candy, also contains my dotfiles of Debian 12 (Bookworm) setup

Mixed Effects Random Forest

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A highly efficient implementation of Gaussian Processes in PyTorch

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Mansplaining R

A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

A PyTorch implementation of a Factorization Machine module in cython.

A frame-semantic parsing system based on a softmax-margin SegRNN.

A neural TurboSemanticParser as described in "Deep Multitask Learning for Semantic Dependency Parsing", Peng et al., ACL 2017.

Minimal and Clean Reinforcement Learning Examples

DyNet: The Dynamic Neural Network Toolkit

Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings