Skip to main content
buildradar
Sign in
Topic · language-models

language-models

Tracked open-source repos tagged language-models, sorted by stars.

Repos
21
Total stars
43,107
Avg. stars
2,053
Share
0.00%

Topics that frequently appear alongside language-models on the same repo.

Recent risers

Repos created in the last 90 days, tagged language-models.

No new repos tagged with this topic in the last 90 days.

  • petals@bigscience-workshop

    🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

    10,533+6Star change over the last 7 days
  • argos-translate@argosopentech

    Open-source offline translation library written in Python

    6,425+13Star change over the last 7 days
  • From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

    3,681+3Star change over the last 7 days
  • cookbook@Liquid4All

    Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK

    2,426+3Star change over the last 7 days
  • large_concept_model@facebookresearch

    Large Concept Models: Language modeling in a sentence representation space

    2,377+1Star change over the last 7 days
  • [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

    2,228+0Star change over the last 7 days
  • ecco@jalammar

    Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

    2,103+0Star change over the last 7 days
  • perplexity-ai@helallao

    Unofficial API Wrapper for Perplexity.ai + Account Generator with Web Interface

    1,867+2Star change over the last 7 days
  • awesome-japanese-llm@llm-jp

    日本語LLMまとめ - Overview of Japanese LLMs

    1,428+1Star change over the last 7 days
  • LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

    1,251+0Star change over the last 7 days
  • tango@declare-lab

    A family of diffusion models for text-to-audio generation.

    1,238-1Star change over the last 7 days
  • Treasure-of-Transformers@ashishpatel26

    💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

    1,179+0Star change over the last 7 days
  • [ACL 2023] Reasoning with Language Model Prompting: A Survey

    1,007+1Star change over the last 7 days
  • ontogpt@monarch-initiative

    LLM-based ontological extraction tools, including SPIRES

    999+13Star change over the last 7 days
  • PhoBERT@VinAIResearch

    PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

    806-1Star change over the last 7 days
  • hyena-dna@HazyResearch

    Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

    806-2Star change over the last 7 days
  • small-text@webis-de

    Active Learning for Text Classification in Python

    646+0Star change over the last 7 days
  • happy-transformer@EricFillion

    Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

    546-1Star change over the last 7 days
  • xmtf@bigscience-workshop

    Crosslingual Generalization through Multitask Finetuning

    534+0Star change over the last 7 days
  • PromptInject@agencyenterprise

    PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

    522+2Star change over the last 7 days
  • agency@neurocult

    🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

    514+0Star change over the last 7 days
← Back to topics