general vs nn

general

By evidencebp

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)

Deep Learning deep-learning-tutorial Pytorch Gan Transformers reinforcement-learning Optimizers neural-networks Transformer Machine Learning attention literate-programming

Source Code

nn.labml.ai

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general		nn
	Project
1	Mentions	26
1	Stars	48,004
-	Growth	8.5%
0.0	Activity	7.7
about 1 year ago	Latest Commit	about 1 month ago
	Language	Jupyter Notebook
-	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.

general

Posts with mentions or reviews of general. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

[D] Looking for open source projects to contribute
15 projects | /r/MachineLearning | 9 Jan 2022

I created a dataset of github projects.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

Can't remember name of website that has explanations side-by-side with code
1 project | /r/learnmachinelearning | 28 Mar 2023

Hey are you talking about https://nn.labml.ai/ ?
[D] Recent ML papers to implement from scratch
1 project | /r/MachineLearning | 10 Oct 2022
[P] GPT-NeoX inference with LLM.int8() on 24GB GPU
1 project | /r/MachineLearning | 20 Aug 2022

Implementation & LM Eval Harness Results
[P] Fine-tuned the GPT-Neox Model to Generate Quotes
1 project | /r/MachineLearning | 11 Aug 2022

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]
1 project | /r/MachineLearning | 24 Jul 2022

Regarding implementations this helps me: https://nn.labml.ai/
Introductory papers to implement
1 project | /r/learnmachinelearning | 19 Jun 2022
How to convert research papers to code?
1 project | /r/MLQuestions | 23 Apr 2022
[D] How to convert papers to code?
1 project | /r/MachineLearning | 23 Apr 2022

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
15 projects | /r/MachineLearning | 9 Jan 2022
Resource for papers explanation
1 project | /r/MLQuestions | 6 Nov 2021

What are some alternatives?

When comparing general and nn you can also consider the following projects:

habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

poutyne - A simplified framework and utilities for PyTorch

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

dataqa - Labelling platform for text using weak supervision.

functorch - functorch is JAX-like composable function transforms for PyTorch.

docarray - Represent, send, store and search multimodal data

ZoeDepth - Metric depth estimation from a single image

kaggle-environments

onnx-simplifier - Simplify your onnx model

habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.

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.