Ambarella’s CV7 SoC leverages the CVflow computer vision architecture to bring 8K image processing and advanced AI inference ...

This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...

PFE is trading in the middle of its 52-week range and above its 200-day simple moving average. Price change The price of PFE shares has increased $0.01 since the market last closed. This is a 0.04% ...

The following table has 4 rows, 5 columns, each column is for one query. In each column, the first one is query image, followed with 3 retrieved ones. You can click images to see full size image in ...

AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference, Pattern Recognition, In Press. [DOI] [Manuscript] MobileNetV2 is conducted using PyTorch 1.2.0. the ...

ROS (Popular & Comprehensive physical simulator for robots; Heavy and Slow): Webots (Popular physical simulator for robots; Faster than ROS; Less realistic): DQN: Mnih V, Kavukcuoglu K, Silver D, et ...

Common issue: the setup file from torch-points-kernels package needs PyTorch to be previously installed. You may thus need to install PyTorch first and then torch ...

Release 1.0.24 Add new benchmark result csv files for inference timing on all models w/ RTX Pro 6000, 5090, and 4090 cards w/ PyTorch 2.9.1 Fix moved module error in ...

This guide is designed to help pytorch and onnx users use the new-generation model conversion tool, pnnx, to efficiently and reliably convert models to the ncnn format for high-performance inference ...

Abstract: While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, a recent trend in AutoML is to focus on neural architecture search. In this paper, we ...

Overview of one stage in PointMLP. Given an input point cloud, PointMLP progressively extracts local features using residual point MLP blocks. In each stage, we first transform the local point using a ...

The code is built on PyTorch and tested on Ubuntu 16.04/18.04 and Windows 10 environment (Python3.x, PyTorch>=0.4) with 1080Ti GPU. With the aim of developing a fast yet accurate algorithm for ...