machine-learning-experiments VS sign_language_detector

Compare machine-learning-experiments vs sign_language_detector and see what are their differences.

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machine-learning-experiments sign_language_detector
8 2
1,602 3
- -
2.6 0.0
4 months ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
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.

machine-learning-experiments

Posts with mentions or reviews of machine-learning-experiments. We have used some of these posts to build our list of alternatives and similar projects.

sign_language_detector

Posts with mentions or reviews of sign_language_detector. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing machine-learning-experiments and sign_language_detector you can also consider the following projects:

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

nlpaug - Data augmentation for NLP

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

CameraTraps - PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

lucid - A collection of infrastructure and tools for research in neural network interpretability.

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks

gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow