mlwhiz / data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

Data Science Blogs

I have been pretty careless with keeping track of the code I write for my blogs.

So I thought of creating a repository to keep track of all the code that I end up writing for my blog posts. Although there are a lot of other blog posts which don't have codes here. So, follow me up at Medium or Subscribe to my blog to be informed about them. As always, I welcome feedback and constructive criticism and can be reached on Twitter @mlwhiz.

I would be also grateful if you consider Becoming a Patron! of my work. Thanks!!!

Deep Learning

Deep Learning	BlogLink	CodeLink
An End to End Introduction to GANs	Blog	Code
Faster and Memory-Efficient PyTorch models using AMP and Tensor Cores	Blog	Code
Chatbots aren’t as difficult to make as You Think	Blog	Code
End to End Multiclass Image Classification Using Pytorch and Transfer Learning	Blog	Code
Using Deep Learning for End to End Multiclass Text Classification	Blog	Code
Object detection using mask-RCNN on custom Dataset	Blog	Code

Data Science

Data Science	BlogLink	CodeLink
Applications of MCMC for Cryptography and Optimization	Blog	Code
Advanced Streamlit Caching	Blog	Code
A Newspaper for COVID-19 — The CoronaTimes	Blog	Code
Minimal Pandas Subset for Data Scientists on GPU	Blog	Code
How to run your ML Predictions 50 times faster?	Blog	Code
How to write Web apps using simple Python for Data Scientists?	Blog	Code
Using Gradient Boosting for Time Series prediction tasks	Blog	Code
Lightning Fast XGBoost on Multiple GPUs	Blog	Code

BigData

BigData	BlogLink	CodeLink
4 Graph Algorithms on Steroids for data Scientists with cuGraph	Blog	Code
5 Ways to add a new column in a PySpark Dataframe	Blog	Code
100x faster Hyperparameter Search Framework with Pyspark	Blog	Code
The Hitchhikers guide to handle Big Data using Spark	Blog	Code
The Most Complete Guide to pySpark DataFrames	Blog	Code

data_science_blogs's Issues

Training weights

Hello, please share the training weights(weapon recognition). Thanks.

Document versions of libraries installed

I came across what I believe is a version issue while attempting to run your code. Can you include a text file of the libraries, specifying the versions? Also what Cuda version or GPU-specific software are installed? Thanks!

The specific error was on a Ubuntu 18.04 LTS and CUDA 10.0:
OSError: cannot load library '/home/ubuntu/.virtualenvs/env/lib/python3.6/site-packages/librmm.so': libcudart.so.9.2: cannot open shared object file: No such file or directory

Which software you use to label those downloaded images?

Hi, I would like to know which software you're using to label the dataset. You don't mention the labeling software name in the blog.

sklearn fit and hummingbird convert

Hello ! In your code, you fit the sklearn model first and then convert it.
In my model, fit time is too long. Can i convert it first to speedup fit ?
Pleaase!

IWSLT Dataset not downloading

Please kindly look at the screenshot and let us know what to do.

What is the similar code for copy in windows. ?

Windows similarity for copying images.