lookahead

torch-optimizer -- collection of optimizers for Pytorch

Compile Time Parser Generator is a C++ single header library which takes a language description as a C++ code and turns it into a LR1 table parser with a deterministic finite automaton lexical analyzer, all in compile time.

optimizer & lr scheduler & loss function collections in PyTorch

🛠 Toolbox to extend PyTorch functionalities

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

PHP Language Recognition Tool

pytorch implement of Lookahead Optimizer

A React component for Autocomplete Hint.

datagrand 2019 information extraction competition rank9

A contenteditable text editor with predictive typeahead, similar to Gmail's Smart Compose feature.

Lookahead mechanism for optimizers in Keras.

Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

Lookahead Optimizer: k steps forward, 1step back for MXNet

A collection of deep learning models (PyTorch implemtation)

Lint the use of lookahead and lookbehind regex expressions.

Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)

High-performance pure-Go regex engine with PCRE features. Drop-in regexp replacement that beats stdlib 2-50x.

Add the lookahead & lookbehind assertions to Emacs regular expressions

Yet Another Parser Generator takes a grammar specification for an LR(1) grammar as input and generates a C++ header file containing tables and helper structs for parsing the LR(1) grammar.

A methodology to pre-process text data for preventing lookahead bias in Large Language Models (LLMs), particularly in financial text analysis.