nn VS docarray

Compare nn vs docarray and see what are their differences.

nn

🧑‍🏫 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)
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nn docarray
26 32
47,503 2,739
7.6% 2.4%
7.7 9.2
about 1 month ago 6 days ago
Jupyter Notebook Python
MIT License Apache License 2.0
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.

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.

docarray

Posts with mentions or reviews of docarray. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-19.

What are some alternatives?

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

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

Milvus - A cloud-native vector database, storage for next generation AI applications

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

bootcamp - Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

ZoeDepth - Metric depth estimation from a single image

kaggle-environments

onnx-simplifier - Simplify your onnx model

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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.

discoart - 🪩 Create Disco Diffusion artworks in one line