Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: yolov3-training

Direktori bahasa Inggris

๐Ÿค— Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit

Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

67K
Stars
87/100
Kepercayaan
Kategori: media-automationAudit

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

43K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

22K
Stars
87/100
Kepercayaan
Kategori: support-automationAudit

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

21K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

19K
Stars
79/100
Kepercayaan
Kategori: ml-automationAudit

A WebGL accelerated JavaScript library for training and deploying ML models.

19K
Stars
81/100
Kepercayaan
Kategori: ml-automationAudit

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

11K
Stars
82/100
Kepercayaan
Kategori: ml-automationAudit

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

9.2K
Stars
83/100
Kepercayaan
Kategori: rag-knowledgeAudit

A system for quickly generating training data with weak supervision

6.0K
Stars
81/100
Kepercayaan
Kategori: ml-automationAudit

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
Kepercayaan
Kategori: agent-skillsAudit

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

5.7K
Stars
86/100
Kepercayaan
Kategori: ml-automationAudit