Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Hands-On Guide To RecBole Recommendation Algorithms
RecBole is a python package for various recommendation system algorithms. which covers four major categories of recommendation system with 72 algorithms
Yugesh Verma ·
Guide To StyleCLIP: Text Driven Image Manipulation
StyleCLIP combines the generative power of StyleGAN with CLIP’s joint image-text embedding to enable intuitive text-based image manipulation.
Aditya Singh ·
Guide To GPBoost: A Library To Combine Tree-Boosting With Gaussian Process And Mixed-Effects Models
GPBoost is an approach and a software library aimed at combining tree-boosting with mixed-effects models and Gaussian Process (GP); hence the name ‘GP + Tree-Boosting’.
Nikita Shiledarbaxi ·
Introduction To Infer.NET - A Framework For Probabilistic Programming in DOTNET
Nikita Shiledarbaxi ·
Deeper Insights Series: AMA With Data Science Hiring Leaders
Srishti Deoras ·
Guide to GANSpace: Discovering Interpretable GAN Control
Aishwarya Verma ·
Turbulence Modelling Based On An Approach Of Artificial Neural Network
Krishnkumar Gupta ·
How To Colorize Your Old Image & Videos using DeOldify?
Mohit Maithani ·
Meet The Top Finishers Of MachineHack’s Buyer’s Time Prediction Challenge
Sejuti Das ·
Hands-on Guide to OpenAI’s CLIP - Connecting Text To Images
OpenAI has designed its new neural network architecture CLIP (Contrastive Language-Image Pretraining) for Learning Transferable Visual Models From Natural Language Supervision.
Jayita Bhattacharyya ·
Now, Companies Want To Go Digital As Early As Yesterday: Sudeep Srivastava, Appinventiv
Shraddha Goled ·
A Guide to Self-Supervised Learning in Computer Vision
Yugesh Verma ·
An Illustrative Guide to Extrapolation in Machine Learning
Extrapolation is a sort of estimation of a variable's value beyond the initial observation range based on its relationship with another variable.
Vijaysinh Lendave ·
A Guide to Locally Linear Embedding for Dimensionality Reduction
We can simply apply the dimension reduction by choosing the random projection of the data. Locally-Linear Embedding is a approach for dimension reduction
Yugesh Verma ·
A Guide to Pix2Seq: Language Modeling Framework for Object Detection
Pix2seq is a new approach which is designed in intuition which states that if a neural network is already trained about the where and what the objects are. We just need to train the network to read them out
Yugesh Verma ·
A Guide to Generalization and Regularization in Machine Learning
Generalization and Regularization are two often terms that have the most significant role when you aim to build a robust machine learning model.
Vijaysinh Lendave ·
Join This Masterclass - ‘How To Start Your Career In Data Science?’
Join this exclusive masterclass to know how to start a lucrative career in data science. Also get insights into the stellar placement record by Praxis Business School for their PGP in Data Science Program
AIM Media House ·
A Guide to Surprise - Python Tool for Recommender Systems
Building a recommender system from scratch is a tedious task as it involves a lot of preprocessing steps and requires sophisticated coding skills.
Vijaysinh Lendave ·
A Guide to Building Hybrid Recommendation Systems for Beginners
A hybrid recommendation system is a special type of recommendation system which can be considered as the combination of the content and collaborative filtering method.
Yugesh Verma ·
A Complete Guide to Causal Inference in Python
Yugesh Verma ·