nn VS labml

Compare nn vs labml and see what are their differences.

nn

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง  (by lab-ml)
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nn labml
26 23
47,503 1,858
7.6% 3.8%
7.7 9.8
27 days ago 6 days ago
Jupyter Notebook Jupyter Notebook
MIT 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.

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.

labml

Posts with mentions or reviews of labml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-07.

What are some alternatives?

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

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

guildai - Experiment tracking, ML developer tools

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

Practical_RL - A course in reinforcement learning in the wild

ZoeDepth - Metric depth estimation from a single image

Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

onnx-simplifier - Simplify your onnx model

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

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.

MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light๐Ÿ’ก image enhancement

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Lottery_Ticket_Hypothesis-TensorFlow_2 - Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"