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Related:
machine-learning
ai
llm
local-ai
c++
quantization
openai
model-serving
deep-learning
mlops
|
| Package |
Description |
Version |
|
llama.cpp
☆
formula
92,086
|
LLM inference in C/C++ |
7540 |
|
cortexso
☆
formula
|
Drop-in, local AI alternative to the OpenAI stack |
0.1.1 |
|
djl-serving
☆
formula
|
This module contains an universal model serving implementation |
0.35.0 |
|
libtensorflow
☆
formula
|
C interface for Google's OS library for Machine Intelligence |
|
|
ncnn
☆
formula
|
High-performance neural network inference framework |
20250916 |
|
onnxruntime
☆
formula
|
Cross-platform, high performance scoring engine for ML models |
66ee79c038d70dad9f08705b2c9b3e58f6d8f512 |
|
openvino
☆
formula
|
Open Visual Inference And Optimization toolkit for AI inference |
2025.4.0 |
|
ramalama
☆
formula
|
Goal of RamaLama is to make working with AI boring |
0.15.0 |
|
shimmy
☆
formula
|
Small local inference server with OpenAI-compatible GGUF endpoints |
1.8.2 |
|
swama
☆
cask
|
Machine-learning runtime |
2.4.0 |
|
text-embeddings-inference
☆
formula
|
Blazing fast inference solution for text embeddings models |
1.8.3 |