taco VS TrainYourOwnYOLO

Compare taco vs TrainYourOwnYOLO and see what are their differences.

taco

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs (by tensor-compiler)
Tensor tensor-algebra Linear Algebra Library Code-Generator Sparse tensor-algebra-compiler
Source Code
tensor-compiler.org
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TrainYourOwnYOLO

Train a state-of-the-art yolov3 object detector from scratch! (by AntonMu)
Yolov3 Yolo object-detection Python custom-yolo Deep Learning deep-learning-tutorial Detector Inference annotating-images transfer-learning google-colab GPU Tensorflow2 Keras keras-models trainyourownyolo Tf2 Wandb weights-and-biases
Source Code
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taco TrainYourOwnYOLO
2 1
1,208 635
1.1% -
0.0 0.0
18 days ago over 1 year ago
C++ Jupyter Notebook
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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taco

Posts with mentions or reviews of taco. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-15.
  • The Distributed Tensor Algebra Compiler (2022)
    4 projects | news.ycombinator.com | 15 Jun 2023
    I agree! Much of this work was done as part of the overarching TACO project (https://github.com/tensor-compiler/taco), in an attempt to distribute sparse tensor computations (https://rohany.github.io/publications/sc2022-spdistal.pdf). MLIR recently (~mid 2022) began implementing the ideas from TACO into a "sparse tensor" dialect, so perhaps some of these ideas could make it into there. I'm working with MLIR these days, and if I could re-do the project now I would probably utilize and targetb the MLIR linalg infrastructure!
  • Qué tire la primer piedra, aquien no le ha pasado así....?
    1 project | /r/mexico | 14 Jul 2022

TrainYourOwnYOLO

Posts with mentions or reviews of TrainYourOwnYOLO. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-18.

What are some alternatives?

When comparing taco and TrainYourOwnYOLO you can also consider the following projects:

blitz - Blitz++ Multi-Dimensional Array Library for C++

SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection

Grassmann.jl - ⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra

colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.

CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

tf2patcher - A patcher for TF2 that allows you to apply full-colored decals.

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

theme-ui - Build consistent, themeable React apps based on constraint-based design principles

CleanTF2plus - Clean TF2's sequel

taco vs blitz TrainYourOwnYOLO vs SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 taco vs Grassmann.jl TrainYourOwnYOLO vs colabcat taco vs CuTeLib TrainYourOwnYOLO vs super-resolution taco vs MegEngine TrainYourOwnYOLO vs tf2patcher taco vs YOLOX TrainYourOwnYOLO vs pix2seq taco vs theme-ui TrainYourOwnYOLO vs CleanTF2plus