🤗 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.
Skill-Verzeichnis
Wiederverwendbare Skills für AI Agents entdecken.
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Suchergebnisse: post-training
Englisches VerzeichnisUnsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
A curated list of resources and tools for enhancing Claude AI workflows.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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.
A WebGL accelerated JavaScript library for training and deploying ML models.
Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
An agent skill that enforces ASD-STE100 Simplified Technical English in LLM-generated documentation, reducing AI slop and improving clarity.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
A system for quickly generating training data with weak supervision