bibaandboba
TF-Watcher
bibaandboba | TF-Watcher | |
---|---|---|
13 | 3 | |
140 | 59 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | almost 1 year ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
bibaandboba
- Check out my Python package for analysing Telegram chats
-
This Week In Python
bibaandboba – Python package for analyzing Telegram chats and finding correlations between people
- Python package for analyzing Telegram chats and finding correlations
- My Python package for analyzing Telegram chats
-
Python package for analyzing Telegram chats
I would be really delighted if you would leave a star on my GitHub. It's my inspiration: https://github.com/andylvua/BibaAndBoba
-
Package for analyzing Telegram chats and finding parasite words of your friends
This library will help you find the words parasites that your friend often uses in Telegram. BibaAndBoba can analyze the messages history, and even determine the probability that two people communicate with each other.
If you are interested in how it works, please visit my GitHub repository: https://github.com/andylvua/BibaAndBoba
I would be really delighted if you would leave a star on my GitHub. It's my inspiration.
-
Check out my Python package for analyzing Telegram chat history files and finding parasite words of your friends!
If you are interested in how it works, please visit my GitHub repository: https://github.com/andylvua/BibaAndBoba
TF-Watcher
- Monitor ML training on mobile devices
-
[D] Paper Explained - Fastformer: Additive Attention Can Be All You Need (Full Video Analysis)
Thanks for the great video. Inspired by your video and an existing implementation, I tried to implement this paper: https://github.com/Rishit-dagli/TF-Watcher
- Monitor your ML job from mobile phones
What are some alternatives?
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
EasyMSE - A Python package for generating custom Magic The Gathering cards
mach-nix - Create highly reproducible python environments
pypi-github-sync - Upload your Python package to PyPI with latest Github version tag.
asyncer - Asyncer, async and await, focused on developer experience.
hyperglass - hyperglass is the network looking glass that tries to make the internet better.
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
jina - ☁️ Build multimodal AI applications with cloud-native stack
styrofoam - (Alpha) Advanced WSGI router for running multiple separate WSGI applications