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hard-negative-mining 开源项目推荐(35 个)
hard-negative-mining 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 35 个仓库[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
Retrieve + rerank over a closed label bank: LLM bi-encoders with self-mined hard negatives and a generative listwise reranker. Generalized from a silver-medal solution to Kaggle Eedi — Mining Misconceptions in Mathematics.
Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
Detection algorithms and applications from famous papers; simple theory; solid code.
Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"
https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Winner project of the HackUDC 2026 Inditex AI challenge. From a photo of an outfit and given the Zara catalog, identify all the individual pieces the model is wearing.
Fine-tune single-vector embeddings on Apple Silicon with MLX: LoRA/QLoRA, GradCache, multi-positive training and teacher ranking distillation.
ViIR: The Unified Framework for Fine-tuning Vietnamese Information Retrieval Models with Various Tuning Statergies.
Train a SVM and for detecting human upper bodies in TV series The Big Bang Theory
A visual grounding system for RefCOCO that freezes GroundingDINO candidates and trains a lightweight multimodal fusion reranker for region-text alignment and verifiable candidate ranking.
SuperGlue training pipeline written using Pytorch Lightning
Computer vision pipeline for underwater object detection (mines, UUVs, divers) — custom YOLOv8 training with physics-based synthetic data generation and iterative hard-negative mining.
Custom Object Detector
Hard-negative curation and sampling benchmark for mitigating false alarms in continuous edge AIoT perception.
Finds the same product across marketplace listings from titles and photos. Built as a measured experiment ladder: BM25 → photo hashes → embeddings → learned fusion → fine-tuned models. Test F1 0.80 (BM25 0.68).
End-to-end YOLOv8 Fire & Smoke Detection research: dataset curation, hard-negative mining, R1→R3 training, locked final test, ONNX deployment, and downloadable model release.
Implements relation extraction for biomedical texts using Hard Negative Mining to improve accuracy in identifying complex entity relationships. Includes code for data processing, training, and evaluation with BioC-format datasets.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/hard-negative-mining。
- 该话题在 GitHub 上共有 35 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3776 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。