optuna-examples
tqdm
| optuna-examples | tqdm | |
|---|---|---|
| 2 | 33 | |
| 601 | 27,530 | |
| 4.3% | 1.0% | |
| 8.7 | 7.0 | |
| 7 days ago | 8 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
optuna-examples
-
[D]How to optimize an ANN?
Check out the examples for Optuna, a popular hyper parameter tuning package. It has examples for most popular ML frameworks including Xgboost, so you can see how it compares to an ANN framework like Keras or PyTorch.
-
Data Scientists are dying out
That's still regular ML because you are in charge of the features. Optuna might make your life easier though: https://github.com/optuna/optuna-examples/blob/main/xgboost/xgboost_simple.py
tqdm
-
Neat Parallel Output in Python
yeah my code needs to use multiprocessing, which does not play nice with tqdm. thanks for the tip about positions though, that helped me search more effectively and came up with two promising comments. unmerged / require some workarounds, but might just work:
https://github.com/tqdm/tqdm/issues/1000#issuecomment-184208...
-
The Gems of Moreutils
> Like tqdm (Python progressbar library) but as a Unix utility.
FYI: tqdm can be used in a shell pipeline as well. It's documented (at least) in their readme: https://github.com/tqdm/tqdm#module
-
Helper class for tracking the progress of iteration in CLI
BTW, my inspiration was https://github.com/tqdm/tqdm library for python and any contribution is welcome to add similar functionality.
-
I have this function I have written that shows how much of a percentage is done given progress in a loop..so..if you are iterating through a loop that is 500 long, at 200 it says "40%",240 "48%", and so on, but, how do you just change the value on the screen, not print a new one on a new line?
I can recommend you the package tqdm (https://github.com/tqdm/tqdm) You can replace the standard for statement with it, or use it with any other iterable. By default, it gives you a progress bar with a percentage and ETA, but you can also configure it to only print the percentage, if you want that. If you want to use print statements, adding \r at the beginning and not putting a line end should also do the trick.
-
I keep getting this issue, can anyone help??
you try to run an python script that requires the tqdm package and also a regex package (what normally should be installed, when installing python). Blender tries to install these packages without success. You probably have to do it on your own by installing them in your pythons virtual environment.
-
[2022 Day11 (Part2)] [python] brute force
If OP is using python that might be the output of python's tqdm.
- How to implement a progress bar for non verbose commands?
- tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLI
- Return progress of loop without impacting performance of loop
-
Client-server not closing connection properly on keyboard interrupt
I have a client-server socket program where the server sends a file to the client. The server is designed to allow multiple clients using threading. For the file transfer on the client, I am using the tqdm library (https://github.com/tqdm/tqdm).
What are some alternatives?
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
optuna - A hyperparameter optimization framework
alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
CUTIE - Command line User Tools for Input Easification
SMAC3 - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
enlighten - Enlighten Progress Bar for Python Console Apps
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
progressbar - Terminal-based progress bar for Java / JVM
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console