Pinned Repositories
AI-on-Board
Examples of AI model running on the board, such as horizon/rockchip and so on.
HunyuanDiT-TensorRT-libtorch
HunyuanDiT with TensorRT and libtorch
Kolors-TensorRT-libtorch
Kolors with TensorRT and libtorch
ncnn-examples
Learning ncnn with some examples
Stable-Diffusion-TensorRT
Stable Diffusion in TensorRT 8.5+
TensorRT2ONNX
A tool convert TensorRT engine/plan to a fake onnx
yolov10
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov8
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv8-TensorRT
YOLOv8 using TensorRT accelerate !
triple-Mu's Repositories
triple-Mu/YOLOv8-TensorRT
YOLOv8 using TensorRT accelerate !
triple-Mu/yolov8
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
triple-Mu/yolov10
triple-Mu/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
triple-Mu/HunyuanVideo-TensorRT
HunyuanVideo Inference With TensorRT
triple-Mu/FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for Cloud and Edge. Including Vision, Text, Audio and Video 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization and multi-platform multi-framework support.
triple-Mu/lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
triple-Mu/mmdetection
OpenMMLab Detection Toolbox and Benchmark
triple-Mu/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
triple-Mu/nvidia-patch
This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
triple-Mu/PaddleMIX
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.
triple-Mu/PaddleNLP
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.
triple-Mu/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
triple-Mu/segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
triple-Mu/autocut
用文本编辑器剪视频
triple-Mu/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
triple-Mu/EasyCV
An all-in-one toolkit for computer vision
triple-Mu/finetrainers
Memory-optimized training scripts for video models based on Diffusers
triple-Mu/libnpy
C++ library for reading and writing of numpy's .npy files
triple-Mu/librga
triple-Mu/mmcv
OpenMMLab Computer Vision Foundation
triple-Mu/mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
triple-Mu/mnn-llm
llm deploy project based mnn.
triple-Mu/modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
triple-Mu/nanobind
nanobind: tiny and efficient C++/Python bindings
triple-Mu/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
triple-Mu/tokenizers-cpp
Universal cross-platform tokenizers binding to HF and sentencepiece
triple-Mu/trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
triple-Mu/vllm_official
A high-throughput and memory-efficient inference and serving engine for LLMs
triple-Mu/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.