|8 days ago||2 days ago|
|Apache License 2.0||BSD 3-clause "New" or "Revised" License|
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.
What is Machine Learning
2 projects | dev.to | 18 Sep 2022
TensorFlow: An open source library that helps one to develop and train ML models. https://www.tensorflow.org/
Wich packages are usefull for artificial neural networks?
2 projects | reddit.com/r/learnpython | 14 Sep 2022
The two main ones are TensorFlow/Keras and PyTorch.
What Programming Language To Use?
2 projects | reddit.com/r/PinoyProgrammer | 12 Sep 2022
Google Cloud Reference
24 projects | dev.to | 30 Aug 2022
TensorFlow: ML framework 🔗Link
Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
8 projects | dev.to | 14 Aug 2022
tensorflow – An end-to-end open source platform for machine learning, initially developed by Google
There is framework for everything.
107 projects | reddit.com/r/ProgrammerHumor | 4 Aug 2022
looking from ML/Computer Vision mentor
2 projects | reddit.com/r/ProgrammingBuddies | 3 Aug 2022
Depending on the platform you're working with (if it isn't just directly in Python) we have samples for Android, iOS, and the Raspberry Pi here: https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection
I need help with my school project
2 projects | reddit.com/r/ArtificialInteligence | 23 Jul 2022
How to convert Speech-to-Text with Python?
2 projects | dev.to | 6 Jul 2022
DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier.
[D] What are the necessary python framework(s) to learn to become an AI/ML dev? A.K.A Complete Roadmap.
5 projects | reddit.com/r/learnmachinelearning | 5 Jul 2022
Deep learning: tensorflow, pytorch
A peek into Location Data Science at Ola
6 projects | dev.to | 26 Sep 2022
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.
Pandas 1.5 released
2 projects | reddit.com/r/Python | 19 Sep 2022
Can anyone share some good examples of Python OOP Repos for DS?
4 projects | reddit.com/r/datascience | 17 Sep 2022
Don't append rows to a pandas DataFrame
2 projects | reddit.com/r/Python | 29 Aug 2022
Terrible name for sure. In general, pandas is moving away from in-place operations and towards always returning a new data frame: https://github.com/pandas-dev/pandas/issues/165292 projects | reddit.com/r/Python | 29 Aug 2022
Yes, these are different. The post is discussing using append with a dataframe (or series), which will be deprecated. There is an existing append method for lists; the append for series/dataframes was confusing. The use of concat on a series/dataframe is synonymous with the append for lists.
Coming from embedded systems C programming, how can I learn to write "Pythonic" Python code?
2 projects | reddit.com/r/learnprogramming | 19 Aug 2022
Accelerate Python code 100x by import taichi as ti
5 projects | reddit.com/r/Python | 19 Aug 2022
All my life I've been using excel. This week my team is fucked after the raw data we have to work with consists of 800k+ rows sheets per week, with 50+ files to process. I submit to coders supremacy. How should I pursue programming after excel? Programming always seems intimidating
2 projects | reddit.com/r/learnprogramming | 18 Aug 2022
New Pandas-for-Haskell data frame library: Name suggestions
3 projects | reddit.com/r/haskell | 17 Aug 2022
My conclusion is from the title of the site https://pandas.pydata.org/:
Visualize YouTube Data with Plotly Express
3 projects | dev.to | 17 Aug 2022
Pandas is the most widely used open source Python package to perform data analytics. To use it, we will import pandas as pd. pd serves as the alias (nickname) for referring to the Pandas package in our program.
What are some alternatives?
Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
tensorflow - An Open Source Machine Learning Framework for Everyone
pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files
Keras - Deep Learning for humans
Dask - Parallel computing with task scheduling
SymPy - A computer algebra system written in pure Python
NumPy - The fundamental package for scientific computing with Python.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
blaze - NumPy and Pandas interface to Big Data
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.