VoxFormer
Serpent.AI
VoxFormer | Serpent.AI | |
---|---|---|
2 | 5 | |
973 | 6,321 | |
2.4% | - | |
6.9 | 0.0 | |
6 months ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
VoxFormer
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🎬 A New AI Research Proposes VoxFormer: A Transformer-Based 3D Semantic Scene Completion Framework
Quick Read: https://www.marktechpost.com/2023/03/04/a-new-ai-research-proposes-voxformer-a-transformer-based-3d-semantic-scene-completion-framework/ Paper: https://arxiv.org/pdf/2302.12251.pdf Github: https://github.com/nvlabs/voxformer
- [R] [N] VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion.
Serpent.AI
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I forced an AI to watch 5000 Isaac episodes and this is what happened
A: I am. While serpent.ai attempted to get an AI to play Isaac, the project hasn't been updated in years.
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A bot is livestreaming. Clearly Blizzard doesn't care.
You don't need a whole team nowadays. Amazon has services that let you train your own neural nets with a little bit of knowledge. Then there are tools like SerpentAI that let your AI interface with games (don't know if it works with Blizzard games, but it works with Steam).
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I'm on a 64 bit win10 pc and want to make a tas for a unity game, that is what I have. How do I make a tas
i cant. is there any way https://github.com/SerpentAI/SerpentAI would work. the game is entirely mouse movements.
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Using NEAT and Serpent.AI to train an agent to play DK Country- is this a bad idea?
Hey! So, I'd like to implement NEAT machine learning to train an agent to play Donkey Kong Country, but there doesn't seem to be much in the way of tutorials/examples for Serpent.AI (like, its weirdly dead given how powerful it seems to be and github page is full of dead links) so I wanted to see if any of you fine folk would recommend for/against its use or that of an alternative. Any other advice also appreciated.
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Best Websites Every Programmer Should Visit
Serpent AI : Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA
What are some alternatives?
fiftyone - The open-source tool for building high-quality datasets and computer vision models
Caffe2
MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Porcupine  - On-device wake word detection powered by deep learning
Kornia - Geometric Computer Vision Library for Spatial AI
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Autonomous-car - Autonomous car using ESP32.
Projects - :page_with_curl: A list of practical projects that anyone can solve in any programming language.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Caffe - Caffe: a fast open framework for deep learning.