artificial-intelligence
nn
| artificial-intelligence | nn | |
|---|---|---|
| 3 | 26 | |
| 176 | 48,709 | |
| - | 5.1% | |
| 4.6 | 7.7 | |
| 10 days ago | about 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | 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.
artificial-intelligence
- First open-source TEXT-TO-VIDEO had been revealed!! I was playing with it and enhanced the FPS of the output 4x by combining the model with FILM frame interpolation. Check it here: https://github.com/PsorTheDoctor/artificial-intelligence/blob/master/modern_approach/video_interpolation/film.ipynb
- With this GAN-based approach I was able to clone an ability to modify human face featured in the viral FaceApp app in a pretty competitive way. I'm totally impressed how far this technology can go... My Github AI repo: https://github.com/PsorTheDoctor/artificial-intelligence
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?
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
awesome-ai-awesomeness - A curated list of awesome awesomeness about artificial intelligence
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
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'
vision - Datasets, Transforms and Models specific to Computer Vision