Projects in Awesome Lists tagged with languagemodel

https://github.com/salesforce/codegen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

codex generativemodel languagemodel llm programsynthesis tpu-acceleration

Last synced: 13 May 2025

https://github.com/salesforce/CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

codex generativemodel languagemodel llm programsynthesis tpu-acceleration

Last synced: 28 Mar 2025

https://github.com/yobulkdev/yobulkdev

🔥 🔥 🔥Open Source & AI driven Data Onboarding Platform:Free flatfile.com alternative

csv-import csv-parser csv-reader data-engineering datacleaning embeddable javascript languagemodel mongodb nextjs nodejs open-source react stream streaming

Last synced: 21 Apr 2025

https://github.com/salesforce/coderl

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

ai codegeneration languagemodel machinelearning programsynthesis reinforcementlearning

Last synced: 15 May 2025

https://github.com/salesforce/CodeRL

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

ai codegeneration languagemodel machinelearning programsynthesis reinforcementlearning

Last synced: 12 Apr 2025

https://github.com/asahi417/lmppl

Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

bart gpt languagemodel nlp

Last synced: 06 Apr 2025

https://github.com/cluebenchmark/lightlm

高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task

bert chinese chinese-language-model languagemodel nlp nlpcc nlpcc2020

Last synced: 05 May 2025

https://github.com/shammur/semeval2022task3

The PreTENS shared task hosted at SemEval 2022 aims at focusing on semantic competence with specific attention on the evaluation of language models with respect to the recognition of appropriate taxonomic relations between two nominal arguments (i.e. cases where one is a supercategory of the other, or in extensional terms, one denotes a superset of the other).

competences dataset deep-learning interpretability languagemodel semantic semeval