mfkiwl Goto Github PK

cute-1

Macro for Python-esque comprehensions in Rust

cute-qcw-xc7s25

A compact qcw tesla coil system

cutlass

CUDA Templates for Linear Algebra Subroutines

cutlass-1

cutlass-gpgpu-sim

cutter

Free and Open Source Reverse Engineering Platform powered by rizin

cuxfilter

GPU accelerated cross filtering with cuDF.

cv-binary-seq-eurorack

A 1U Eurorack Module for Triggering CV Sequences

cv-photometric-stereo

A Python implementation of Photometric Stereo and Structure from Motion (Computer Vision).

cv2x-traffic-generator

An SDR-based open-source C-V2X traffic generator for stress testing vehicular communication

cv32e40davide

cv32e40p

A fork of the Open Hardware Group CV32E40P core with light modifications to enable better APU device autonomy.

cv32e40p_ft_tests

cv32e40p_user_manual

This is a repo holding notes about the CV32E40P processor.

cv32e40s

4 stage, in-order, secure RISC-V core based on the CV32E40P

cv32e40x

4 stage, in-order, compute RISC-V core based on the CV32E40P

cv32e41p

4 stage, in-order, secure RISC-V core based on the CV32E40P with Zfinx and Zce ISA extentions

cv64

cva5

The CORE-V CVA5 is an Application class 5-stage RISC-V CPU specifically targetting FPGA implementations.

cva6-sdk

CVA6 SDK containing RISC-V tools and Buildroot

cvad

Computer Vision for Autonomous Driving Course

cvar-energy-risk-deep-model

CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cvkit

Computer Vision Toolkit. cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.

cvml_project

Projects and application using computer vision and machine learning

cvortex.jl

Julia wrapper for GPU accelerated vortex filament and vortex particle methods

cvp-mvsnet

Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

cvpr-2020-self-rain-removal-journal

cvpr-2020-semi-low-light

cvpr2020-sdfdiff

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization