20 Sentence Transformers Trainer alternatives
Sentence Transformers Trainer: Train bi-encoders, rerankers, SPLADE sparse encoders and ColBERT multi-vector models with the loss, evaluator and template each type actually needs. 20 agent skills do similar work, most sharing Python, Fine-tuning and Machine Learning, ranked by how much they have in common with Sentence Transformers Trainer.
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by Hugging Face
Fine-tune object detection, image classification and SAM/SAM2 segmentation models on Hugging Face Jobs cloud GPUs, with dataset validation before you spend GPU minutes.
Also: Fine-tuning, Machine Learning, Python
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by Hugging Face
Fine-tune language and vision models with TRL or Unsloth — supervised, preference, and reinforcement training methods.
Also: Fine-tuning, Machine Learning, Python
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by OpenSearch Project
Take an OpenSearch search application from requirements to a running cluster — BM25, dense and sparse vectors, hybrid retrieval, agentic search and RAG, with relevance evaluation built in.
Also: Embeddings, Vector Search
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by Weaviate
Weaviate's official skill for searching and managing vector collections — hybrid, semantic and keyword search, schema inspection, filtered fetches and bulk imports.
Also: Embeddings, Semantic Search
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by VideoDB
VideoDB's official skill giving an agent one interface to ingest, index, search and edit video — including live RTSP feeds and real-time desktop capture.
Also: Python, Semantic Search
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by NVIDIA
NVIDIA's official skill for building synthetic datasets with NeMo Data Designer — describe the data you want and the agent writes a declarative generation pipeline, column by column.
Also: Fine-tuning, Python
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by Hugging Face
Read-only recipes for the Hugging Face Dataset Viewer API — resolve splits, paginate rows, run text search and row filters, and pull parquet URLs and column statistics.
Also: Machine Learning, Python
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by Redis, Inc.
Redis' own guidance for FT.CREATE schema design, FT.SEARCH / FT.AGGREGATE / FT.HYBRID, HNSW vector similarity and RAG retrieval pipelines.
Also: Vector Search
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by MongoDB
MongoDB's official skill for choosing between Atlas Search, Vector Search and Hybrid Search, then building the right indexes and queries for the use case.
Also: Vector Search
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by thedotmack
Persistent cross-session memory for coding agents: hooks capture each session, a local SQLite + vector store compresses it, and a mem-search skill reads it back.
Also: Semantic Search
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by NVIDIA
Trains, distils, quantises, evaluates, exports and runs inference for RT-DETR real-time object detection in NVIDIA TAO, routing training through AutoML hyperparameter search by default.
Also: Fine-tuning
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by NVIDIA
NVIDIA's official skill for asking a vision-language model fresh questions about recorded video through the Video Search and Summarization blueprint — only when the pixels actually need looking at.
Also: Semantic Search
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by Hugging Face
Hugging Face's official CLI skill — download, upload, and manage models, datasets, Spaces, and Jobs from the terminal.
Also: Machine Learning
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by Oldcircle
Find where a photo was taken: EXIF, OCR, OpenStreetMap, skyline and satellite matching, with coordinates, error radius and evidence images.
Also: Python
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by NVIDIA
Diagnoses wrong gradients in differentiable NVIDIA Warp programs by measuring first — comparing autodiff against finite differences on a shrunk reproduction before proposing any fix.
Also: Python
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by Hugging Face
Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.
Also: Python
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by OpenAI
OpenAI's skill for language- and framework-specific secure coding: detect the stack, load the matching reference guidance, then write secure-by-default code, flag critical issues passively, or produce a prioritised vulnerability report with fixes.
Also: Python
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by arpitg1304
Ten SKILL.md modules that give coding agents real ROS engineering judgement — ROS 1 and ROS 2, design patterns, perception, testing, Docker, bringup and robot security.
Also: Python
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by Graphify Labs
Claude Code skill that turns any folder of code, docs, papers and images into a queryable knowledge graph, with every edge tagged as extracted, inferred or ambiguous.
Also: Python
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by NVIDIA
GPU-accelerated Mean-CVaR and Mean-Variance portfolio construction with NVIDIA cuOpt: scenario generation, variance-capped SOCP allocations, efficient frontiers, backtests and rebalancing.
Also: Python
