๐ค 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.
Direktori skill
Temukan skill yang dapat digunakan kembali untuk AI agents.
Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.
Hasil pencarian: post-training
Direktori bahasa InggrisUnsloth 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