DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

A simple tutorial of SNPE.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

A Supervised and Semi-Supervised Object Detection Library for YOLO Series

📚200+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).

全国各省市停贷通知汇总

Implementation of popular deep learning networks with TensorRT network definition API

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 th…

Effortless data labeling with AI support from Segment Anything and other awesome models.

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

基于昇腾310芯片的大语言模型部署

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Open Source Computer Vision Library

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

The official Meta Llama 3 GitHub site

制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

NVIDIA TensorRT Hackathon 2023复赛选题：通义千问Qwen-7B用TensorRT-LLM模型搭建及优化

A latent text-to-image diffusion model

Stable Diffusion web UI

use rv1126 to run yolo detect coco 80 labels