Custom Object Detection using Yolov4, Roboflow, and Google Colab
https://medium.com/@ashishgupta_72081/custom-object-detection-using-yolov4-roboflow-and-google-colab-c31a3a43e61c
https://medium.com/@ashishgupta_72081/custom-object-detection-using-yolov4-roboflow-and-google-colab-c31a3a43e61c
Logistic Regression: The Math and The Code
A Deep Down look into Logistic Regression, the basic…
https://medium.com/adg-vit/logistic-regression-the-math-and-the-code-291077530d77
A Deep Down look into Logistic Regression, the basic…
https://medium.com/adg-vit/logistic-regression-the-math-and-the-code-291077530d77
Winning Solution of RecSys2020 Challenge: GPU Accelerated Feature Engineering and Training for
https://medium.com/rapids-ai/winning-solution-of-recsys2020-challenge-gpu-accelerated-feature-engineering-and-training-for-cd67c5a87b1f
https://medium.com/rapids-ai/winning-solution-of-recsys2020-challenge-gpu-accelerated-feature-engineering-and-training-for-cd67c5a87b1f
My Favorite Python Servers To Deploy Into Production
Spice-up your deploy-ability by exploring…
https://towardsdatascience.com/my-favorite-python-servers-to-deploy-into-production-d92289764fbe
Spice-up your deploy-ability by exploring…
https://towardsdatascience.com/my-favorite-python-servers-to-deploy-into-production-d92289764fbe
5 Smooth Syntactical Tricks For Python
Make your code more concise and faster by using these…
https://towardsdatascience.com/5-smooth-syntactical-tricks-for-python-61cd69663cc9
Make your code more concise and faster by using these…
https://towardsdatascience.com/5-smooth-syntactical-tricks-for-python-61cd69663cc9
Lambda Function in Python – How and When to use?
Lambda Function, also referred to as ‘Anonymous function’ is same as a regular python function but ...
https://www.machinelearningplus.com/python/lambda-function/
Lambda Function, also referred to as ‘Anonymous function’ is same as a regular python function but ...
https://www.machinelearningplus.com/python/lambda-function/
Machine Learning Plus
Lambda Function in Python – How and When to use?
Learn Data Science Online
How to use tf.function to speed up Python code in Tensorflow
tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to ...
https://www.machinelearningplus.com/deep-learning/how-use-tf-function-to-speed-up-python-code-tensorflow/
tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to ...
https://www.machinelearningplus.com/deep-learning/how-use-tf-function-to-speed-up-python-code-tensorflow/
Machine Learning Plus
How to use tf.function to speed up Python code in Tensorflow
Learn Data Science Online
I made an object tracker using frame-differencing for motion detectors
https://www.reddit.com/r/madeinpython/comments/ii2mcr/i_made_an_object_tracker_using_framedifferencing/
https://www.reddit.com/r/madeinpython/comments/ii2mcr/i_made_an_object_tracker_using_framedifferencing/
Understand Python Decorators in depth
https://www.reddit.com/r/Python/comments/ivn841/understand_python_decorators_in_depth/
https://www.reddit.com/r/Python/comments/ivn841/understand_python_decorators_in_depth/
Introducing PyTorch Forecasting
Forecasting with neural networks made simple
https://towardsdatascience.com/introducing-pytorch-forecasting-64de99b9ef46
Forecasting with neural networks made simple
https://towardsdatascience.com/introducing-pytorch-forecasting-64de99b9ef46
I just did a speed comparison between C and Python
https://www.reddit.com/r/madeinpython/comments/isc539/i_just_did_a_speed_comparison_between_c_and_python/
https://www.reddit.com/r/madeinpython/comments/isc539/i_just_did_a_speed_comparison_between_c_and_python/
Sync vs. Async Python: What is the Difference?
Have you heard people say that async Python code is faster than "normal" (or sync) Python code? How ...
http://blog.miguelgrinberg.com/post/sync-vs-async-python-what-is-the-difference
Have you heard people say that async Python code is faster than "normal" (or sync) Python code? How ...
http://blog.miguelgrinberg.com/post/sync-vs-async-python-what-is-the-difference
Miguelgrinberg
Sync vs. Async Python: What is the Difference?
Have you heard people say that async Python code is faster than "normal" (or sync) Python code? How can that be? In this article I'm going to try to explain what async is and how it differs from…
Image Generation in 10 Minutes with Generative Adversarial Networks
Using Unsupervised Deep Learning…
https://towardsdatascience.com/image-generation-in-10-minutes-with-generative-adversarial-networks-c2afc56bfa3b
Using Unsupervised Deep Learning…
https://towardsdatascience.com/image-generation-in-10-minutes-with-generative-adversarial-networks-c2afc56bfa3b
End-to-End Self Driving Car - Need For Speed
https://www.reddit.com/r/Python/comments/iwt09a/endtoend_self_driving_car_need_for_speed/
https://www.reddit.com/r/Python/comments/iwt09a/endtoend_self_driving_car_need_for_speed/
Python Data Model Part — 1(Objects, Types, and Values)
The de-facto of Python language
https://towardsdatascience.com/python-data-model-part-1-objects-types-and-values-cb9316f57e8
The de-facto of Python language
https://towardsdatascience.com/python-data-model-part-1-objects-types-and-values-cb9316f57e8
Build a fully production ready machine learning app with Python Django, React and Docker
https://towardsdatascience.com/build-a-fully-production-ready-machine-learning-app-with-python-django-react-and-docker-c4d938c251e5
https://towardsdatascience.com/build-a-fully-production-ready-machine-learning-app-with-python-django-react-and-docker-c4d938c251e5
21 Places to Find Free Datasets for Data Science Projects
If you’ve ever worked on a personal data science project, you’ve probably spent a lot ...
https://www.dataquest.io/blog/free-datasets-for-projects/
If you’ve ever worked on a personal data science project, you’ve probably spent a lot ...
https://www.dataquest.io/blog/free-datasets-for-projects/
Dataquest
43 Free Datasets for Projects: Building an Irresistible Portfolio
Here are the best places to find free datasets for projects on data visualization, data cleaning, machine learning, and data processing.