Python 排行榜

A REST API for vLLM, production ready

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)

BERT Fine-tuning for Aspect Based Sentiment Analysis

Documentation for Schema Driven Configuration (SDC)

LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.

Synthetic data for fine tuning LLM

A Bert2Bert model which able to summarize articles!

RoBERTa Marathi Language model trained from scratch during huggingface 🤗 x flax community week

Contextual Retrieval solves this problem by prepending chunk-specific explanatory context to each chunk before embedding (“Contextual Embeddings”) and creating the BM25 index (“Contextual BM25”).

A python package to run inference with HuggingFace language and vision-language checkpoints wrapping many convenient features.

Publication-quality LLM architecture figures from config.json — Raschka-style towers, diffs, posters, VRAM math. No weights needed.

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models

Simple, High Quality, Open Source RAG solution for chatting with your documents

🧠 AI Second Brain — 100% Local Knowledge Management Private, self-hosted second brain. Store, search, and synthesize documents, images, and ideas with local LLMs (LLaVA, CLIP) and PostgreSQL + pgvector. Features multimodal search, knowledge graphs, gDrive streaming, and real-time analysis — all offline, no API keys, no cloud, no limits.

An advanced Self-Centered Intelligence (SCI) prototype that represents a new paradigm in AI-human interaction.

[ICLR 2026] AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

MedMO: Medical Foundation Model