There are 53 repositories under inference topic.
Making large AI models cheaper, faster and more accessible
Port of OpenAI's Whisper model in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
Cross-platform, customizable ML solutions for live and streaming media.
🎨 The exhaustive Pattern Matching library for TypeScript, with smart type inference.
Faster Whisper transcription with CTranslate2
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Large Language Model Text Generation Inference
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
SGLang is a fast serving framework for large language models and vision language models.
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Superduper: Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.
An easy to use PyTorch to TensorRT converter
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台,支持sso登录,多租户,大数据平台对接,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU,边缘计算,serverless,标注平台,自动化标注,数据集管理,大模型微调,vllm大模型推理,llmops,私有知识库,AI模型应用商店,支持模型一键开发/推理/微调,支持国产cpu/gpu/npu芯片,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
Fast inference engine for Transformer models
On-device Speech Recognition for Apple Silicon
Sparsity-aware deep learning inference runtime for CPUs
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
📚 Jupyter notebook tutorials for OpenVINO™
Inference Llama 2 in one file of pure 🔥