General technology for enabling AI capabilities w/ LLMs and MLLMs

Lingvo

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

Password Crack Framework

📃Language Model based sentences scoring library

ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.

A unified framework for data analysis with GLM/GLMM in R

The LM Contamination Index is a manually created database of contamination evidences for LMs.

Bangla-Bert is a pretrained bert model for Bengali language

Korean text normalization and language preparation package for LM in Kaldi-based ASR system

🐍 Python library for n-gram models in ARPA format

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

R package that provides estimation methods for Gravity Models

ChatGPT learns automatically.

Crackhash is a tool that try to crack different types of hashes using free online services.

Efficient Fitting of Linear and Generalized Linear Models by using just base R. The speed gains over lm and glm are obtained by reducing the NxP model matrix to a PxP matrix, and the best computational performance is obtained when R is linked against OpenBLAS, Intel MKL or other optimized BLAS library.

Automatically extracts NT and LM hashes from Windows memory dumps based on volatility.