Open in app

Sign In

Write

Sign In

Abish Pius

118 Followers

Home

About

Pinned

Introducing S.P.O.C.K my First Stab at a Gen-AI App, that you can try for FREE.

Before, I dive into the article describing how to use the app and the tools I used to build it. I want to link the interface here as I am making it free to use for the entire month. Try S.P.O.C.K FREE! …

AI

4 min read

Introducing S.P.O.C.K my First Stab at a Gen-AI App, that you can try for FREE.
Introducing S.P.O.C.K my First Stab at a Gen-AI App, that you can try for FREE.
AI

4 min read


Published in

Writing in the World of Artificial Intelligence

·9 hours ago

Evolve from 2D, efficiently upscale images in 3 dimensions (yes, a free colab link is included)

Full article link: 2309.16653v1.pdf (arxiv.org) Citation: @article{tang2023dreamgaussian,title={DreamGaussian:Generative Gaussian Splatting for Efficient 3D Content Creation}, author={Tang, Jiaxiang and Ren, Jiawei and Zhou, Hang and Liu, Ziwei and Zeng, Gang}, journal={arXiv preprint arXiv:2309.16653}, year={2023}} The field of 3D content creation has experienced a remarkable transformation in recent years, driven by advancements in…

Python

4 min read

Evolve from 2D, efficiently upscale images in 3 dimensions (yes, a free colab link is included)
Evolve from 2D, efficiently upscale images in 3 dimensions (yes, a free colab link is included)
Python

4 min read


Published in

Foundational Data Science: Interview Questions

·1 day ago

Q#94: Coins from a row — a game

Note: I believe it should be free and readily available for everyone to gain value from data, hence I pledge to keep this series free regardless of how large it grows. Suppose you are creating an allocation game with the following parameters: There are two players sitting across a row…

Python

3 min read

Q#94: Coins from a row — a game
Q#94: Coins from a row — a game
Python

3 min read


Published in

Writing in the World of Artificial Intelligence

·3 days ago

Upgrade your EDA (Exploratory Data Analysis) with Sweetwiz

Google Colab example Exploratory Data Analysis (EDA) is an essential step in any data science project. It allows you to gain insights into your dataset, understand its characteristics, and identify patterns and potential issues. However, EDA can be a time-consuming and tedious process, especially when dealing with large datasets. This…

Sweetviz

3 min read

Upgrade your EDA (Exploratory Data Analysis) with Sweetwiz
Upgrade your EDA (Exploratory Data Analysis) with Sweetwiz
Sweetviz

3 min read


Published in

Writing in the World of Artificial Intelligence

·5 days ago

Introducing GenAi Music from Meta and yes its Free to try and copyright Free to use!

Full article: 2306.05284v1.pdf (arxiv.org) Citation: @article{copet2023simple, title={Simple and Controllable Music Generation},author={Jade Copet and Felix Kreuk and Itai Gat and Tal Remez and David Kant and Gabriel Synnaeve and Yossi Adi and Alexandre Défossez}, year={2023}, journal {arXiv preprint arXiv:2306.05284}} Are you ready to embark on a musical journey like no other…

Music

3 min read

Introducing GenAi Music from Meta and yes its Free to try and copyright Free to use!
Introducing GenAi Music from Meta and yes its Free to try and copyright Free to use!
Music

3 min read


Published in

Foundational Data Science: Interview Questions

·6 days ago

Q#93: Call conversions

Note: I believe it should be free and readily available for everyone to gain value from data, hence I pledge to keep this series free regardless of how large it grows. You are given the following tables, containing information about phone calls that a company receives as well as the…

Sql

3 min read

Q#93: Call conversions
Q#93: Call conversions
Sql

3 min read


Published in

Writing in the World of Artificial Intelligence

·Sep 27

Use new Generative AI Tech to remove Watermarks from Video, its ProPainter … and yup, you can try it for FREE!

Full Article: 2309.03897v1.pdf (arxiv.org) Authors Citation: @inproceedings{zhou2023propainter, title={{ProPainter}: Improving Propagation and Transformer for Video Inpainting}, author={Zhou, Shangchen and Li, Chongyi and Chan, Kelvin C.K and Loy, Chen Change}, booktitle={Proceedings of IEEE International Conference on Computer Vision (ICCV)}, year={2023}} DISCLAIMER: It may not be legal to remove watermarks from content and…

Generative Ai Tools

4 min read

Use new Generative AI Tech to remove Watermarks from Video, its ProPainter … and yup, you can try…
Use new Generative AI Tech to remove Watermarks from Video, its ProPainter … and yup, you can try…
Generative Ai Tools

4 min read


Published in

Computational Biology Papers

·Sep 24

State-of-the-art in RNA 3D structure prediction

Link to article: 59940284 (biorxiv.org) https://youtu.be/oe-w1Xx1p1g?si=5vGgS2PIwvqIgEaN The Critical Assessment of Protein Structure Prediction (CASP) is a renowned event in the field of structural biology, where researchers from around the world compete to predict the structures of proteins. In recent years, CASP has expanded its scope to include RNA structure prediction…

Rna

3 min read

State-of-the-art in RNA 3D structure prediction
State-of-the-art in RNA 3D structure prediction
Rna

3 min read


Published in

Writing in the World of Artificial Intelligence

·Sep 23

Solving Sudoku Puzzles in Python (Constraint Optimization Approach)

Sudoku is a classic puzzle game that challenges your logical thinking and problem-solving skills. Solving Sudoku puzzles algorithmically can be an interesting application of linear programming, and in this blog, we will demonstrate how to solve Sudoku puzzles using Python and the PuLP library. Problem Description A Sudoku puzzle is a 9x9…

Sudoku Solver

4 min read

Solving Sudoku Puzzles in Python (Constraint Optimization Approach)
Solving Sudoku Puzzles in Python (Constraint Optimization Approach)
Sudoku Solver

4 min read


Published in

Writing in the World of Artificial Intelligence

·Sep 22

A Faster Ensemble Model Method in Sklearn: Histogram-Based Gradient Boosting

Sklearn Docs: sklearn.ensemble.HistGradientBoostingRegressor — scikit-learn 1.3.1 documentation Scikit-learn 0.21 introduced two revolutionary implementations of gradient boosted trees: HistGradientBoostingClassifier and HistGradientBoostingRegressor. These estimators were inspired by LightGBM and offer significant speed improvements over traditional gradient boosting methods, making them ideal for handling large datasets with tens of thousands of samples or…

Sklearn

4 min read

A Faster Ensemble Model Method in Sklearn: Histogram-Based Gradient Boosting
A Faster Ensemble Model Method in Sklearn: Histogram-Based Gradient Boosting
Sklearn

4 min read

Abish Pius

Abish Pius

118 Followers

Data Science Professional, Python Enthusiast, turned LLM Engineer

Following
  • Jean Davis

    Jean Davis

  • Kebish Pius

    Kebish Pius

  • Jirawat promsee

    Jirawat promsee

  • CS50

    CS50

  • Juro Egresi

    Juro Egresi

See all (17)

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech

Teams