avalon
nn
avalon | nn | |
---|---|---|
2 | 26 | |
169 | 48,933 | |
1.2% | 5.5% | |
1.3 | 7.7 | |
about 1 year ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | 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.
avalon
-
Using AI to infer depth information from images in Godot 4 .NET 6 using the MiDaS monocular depth model
Good luck with your research! If you want to see a much more comprehensive Godot project doing pretty serious AI research, check out Avalon, which is being developed to train free-acting AI agents in realtime 3D environments.
-
Godot Engine Release Management: 4.0 and beyond
If youโre interested thereโs a new RL benchmark that was built using Godot (disclaimer I helped make it!)
https://github.com/Avalon-Benchmark/avalon
nn
-
Can't remember name of website that has explanations side-by-side with code
Hey are you talking about https://nn.labml.ai/ ?
- [D] Recent ML papers to implement from scratch
-
[P] GPT-NeoX inference with LLM.int8() on 24GB GPU
Implementation & LM Eval Harness Results
-
[P] Fine-tuned the GPT-Neox Model to Generate Quotes
Github: https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox
-
Best resources to learn recent transformer papers and stay updated [D]
Regarding implementations this helps me: https://nn.labml.ai/
- Introductory papers to implement
- How to convert research papers to code?
-
[D] How to convert papers to code?
Dunno if this is directly helpful, but this website has implementation with the math side by side https://nn.labml.ai/
- [D] Looking for open source projects to contribute
- Resource for papers explanation
What are some alternatives?
godot_rl_agents - An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
gdrl - Grokking Deep Reinforcement Learning
labml - ๐ Monitor deep learning model training and hardware usage from your mobile phone ๐ฑ
ml-course - Open Machine Learning course
functorch - functorch is JAX-like composable function transforms for PyTorch.
ZoeDepth - Metric depth estimation from a single image
onnx-simplifier - Simplify your onnx model
Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab
Siren-fastai2 - Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'