CrispStrobe/CrispEmbed

Lightweight text embedding inference via ggml in pure C++: XLM-R/Qwen3/Gemma/MPNet/etc

GitHub repository with 18 stars and 3 forks.

Language: Makefile

Topics: bert, embeddings, ggml, mpnet, xlm-roberta

Open provider repository

24h trend summary

Trending score 0.57, freshness score 0.97, stars gained +0, forks gained +1.

Latest metric snapshot

2026-06-15: 18 stars and 3 forks.

Similar repositories

  1. 1. CrispStrobe/CrispEmbed

    Lightweight text embedding inference via ggml in pure C++: XLM-R/Qwen3/Gemma/MPNet/etc

    GitHub repository with 18 stars and 3 forks.

    Trending score: 0.57; stars gained: +0; forks gained: +1.

    Language: Makefile

    Topics: bert, embeddings, ggml, mpnet, xlm-roberta

Trending in Makefile

  1. 1. stvlynn/agentic-coding

    Language- and framework-agnostic template for agent-driven projects.

    GitHub repository with 27 stars and 2 forks.

    Trending score: 1.05; stars gained: +7; forks gained: +0.

    Language: Makefile

  2. 2. PartialVolume/shredos.x86_64

    Shredos Disk Eraser 64 bit for all Intel 64 bit processors as well as processors from AMD and other vendors which make compatible 64 bit chips. ShredOS - Secure disk erasure/wipe

    GitHub repository with 3,043 stars and 135 forks.

    Trending score: 1.05; stars gained: +2; forks gained: +0.

    Language: Makefile

    Topics: disk, eraser, erase, erase-disk, delete, dod

  3. 3. dickhardt/AAuth

    explainer for AAuth

    GitHub repository with 74 stars and 16 forks.

    Trending score: 0.91; stars gained: +5; forks gained: +1.

    Language: Makefile

  4. 4. TheRealFame/NearsecTogether

    NearsecTogether is a low-latency, open-source platform that allows you to play local co-op games over the internet with your friends.

    GitHub repository with 29 stars and 1 forks.

    Trending score: 0.82; stars gained: +2; forks gained: +0.

    Language: Makefile

  5. 5. openwrt/packages

    Community maintained packages for OpenWrt. Documentation for submitting pull requests is in CONTRIBUTING.md

    GitHub repository with 4,525 stars and 3,891 forks.

    Trending score: 0.75; stars gained: +1; forks gained: +0.

    Language: Makefile

    Topics: hacktoberfest

  6. 6. Bertcode21/FIRST-TOUCH-SCHOOL

    This is an open source software school management system

    GitHub repository with 9 stars and 0 forks.

    Trending score: 0.73; stars gained: +1; forks gained: +0.

    Language: Makefile

Trending topic: bert

  1. 1. Happy-Chen-CH/text_classification

    一个文本分类的项目,这个项目实现了三种文本分类的方法,从一开始的随机森林,到fasttext,最后是基于BERT预训练模型训练出自己的文本分类模型;还包括模型的压缩,比如模型量化,模型蒸馏等操作;是一个完整的项目

    GitHub repository with 114 stars and 5 forks.

    Trending score: 0.96; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: ai, bert, distilbert, fasttext-python, python, random-forest-classifier

  2. 2. CrispStrobe/CrispEmbed

    Lightweight text embedding inference via ggml in pure C++: XLM-R/Qwen3/Gemma/MPNet/etc

    GitHub repository with 18 stars and 3 forks.

    Trending score: 0.57; stars gained: +0; forks gained: +1.

    Language: Makefile

    Topics: bert, embeddings, ggml, mpnet, xlm-roberta

  3. 3. openvinotoolkit/nncf

    Neural Network Compression Framework for enhanced OpenVINO™ inference

    GitHub repository with 1,173 stars and 295 forks.

    Trending score: 0.50; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: quantization, pruning, sparsity, quantization-aware-training, mixed-precision-training, compression

  4. 4. json2vec/json2vec

    json2vec turns nested, ragged data into neural representations. It lets users define typed schemas: numbers, categories, sets, dates, entities, text, etc., then trains models for prediction and embeddings. The library supports MLM-based pretraining workflows, mutations, and serving. It is built for data that does not fit cleanly into flat tables.

    GitHub repository with 12 stars and 2 forks.

    Trending score: 0.41; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: bert, embeddings, feature-engineering, fraud-detection, machine-learning, nested

  5. 5. mlwithme/mlwithme.github.io

    「从零学AI指南手册」内容自写作之初就完全是为初学者、跨学科人员所量身打造,包括机器学习、深度学习、大模型原理及RAG、Agent 开发等内容,让你轻松入门人工智能!

    GitHub repository with 6 stars and 0 forks.

    Trending score: 0.09; stars gained: +0; forks gained: +0.

    Language: JavaScript

    Topics: agent, ai, bert, classification, clustering, cnn