12 open-source projects share topics or a category with inference. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
🤗 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.
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you want the more widely starred option (168.5k) you specifically need audio or deep-learningShares gemma, glm, llm, machine-learning with inference.
Pushed yesterday. Apache License 2.0 Python 168.5k+255 A high-throughput and memory-efficient inference and serving engine for LLMs
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you want the more widely starred option (96.2k) you specifically need amd or blackwellShares inference, kimi, llm, pytorch with inference.
Pushed yesterday. Apache License 2.0 Python 96.2k+542 Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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you want the more widely starred option (75.9k) you specifically need agent or aiShares gemma, llm, qwen, transformers with inference.
Pushed yesterday. Apache License 2.0 Python 75.9k+126 SGLang is a high-performance serving framework for large language models and multimodal models.
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you want the more widely starred option (38.4k) you specifically need attention or blackwellShares glm, inference, llm, qwen with inference.
Pushed yesterday. Apache License 2.0 Python 38.4k+151 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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you want the more widely starred option (22.1k) you specifically need ai or computer-visionShares artificial-intelligence, llm, machine-learning, pytorch with inference.
Pushed 5 days ago. Apache License 2.0 Python 22.1k+17 Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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you specifically need cli or consumer-gpuShares llm, machine-learning, pytorch, transformers with inference.
Pushed yesterday. Apache License 2.0 Python 10.1k+358 Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
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you want the more widely starred option (79.0k) you specifically need agent or aiShares gemma, llm, qwen with inference.
Pushed yesterday. Apache License 2.0 Python 79.0k+386 Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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you want the more widely starred option (44.2k) you specifically need data-science or deep-learningShares deployment, llm, machine-learning, pytorch with inference.
Pushed yesterday. Apache License 2.0 Python 44.2k+62 Michael-A-Kuykendall/shimmy
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
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you would rather work in Rust than Python you specifically need api-server or command-line-toolShares llamacpp, machine-learning, transformers with inference.
Pushed 2 days ago. Apache License 2.0 Rust 6.0k+12 Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
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you would rather work in Go than Python MIT License suits your use better than Apache License 2.0 you want the more widely starred option (185.8k) you specifically need deepseek or gemma3Shares gemma, glm, llm, qwen with inference.
Pushed yesterday. MIT License Go 185.8k+818 🐍 Geometric Computer Vision Library for Spatial AI
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you specifically need computer-vision or deep-learningShares artificial-intelligence, machine-learning, pytorch with inference.
Pushed yesterday. Apache License 2.0 Python 12.3k+844 Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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you specifically need corenlp or deep-learningShares artificial-intelligence, machine-learning, pytorch with inference.
Pushed yesterday. Other Python 7.9k+3