dota2-predictor VS merged_depth

Compare dota2-predictor vs merged_depth and see what are their differences.

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dota2-predictor merged_depth
1 3
365 45
- -
10.0 1.8
over 1 year ago over 2 years ago
Python Python
MIT License MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dota2-predictor

Posts with mentions or reviews of dota2-predictor. We have used some of these posts to build our list of alternatives and similar projects.

merged_depth

Posts with mentions or reviews of merged_depth. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.

What are some alternatives?

When comparing dota2-predictor and merged_depth you can also consider the following projects:

Desolator - A web application designed for Ability Draft players

AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins

D-OPTIMIZER - Make Dota 2 fps great again

Cam-Hackers - Hack Cameras CCTV FREE

ToaruDota2mod - Self-made mod for the MOBA game Dota2

magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.

yolov5_obb - yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

mildlyoverfitted - Paper implementations from scratch and machine learning tutorials

liquipediapy - api for liquipedia.net

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration

Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image

koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.