Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

This repository collects all relevant resources about interpretability in LLMs

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Jupyter notebooks for the Natural Language Processing with Transformers book

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

Learnt Data Visualization and Data Analytics with Tableau by solving 3 Realistic Analytics Projects.

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Repository to learn Azure from Zero. This repository covers the complete Azure fundamentals required for a DevOps Engineer.

Handwritten Digit Recognition using Machine Learning and Deep Learning

Toturials coming with the "data science roadmap" picture.

This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

A curated list of Best Artificial Intelligence Resources

List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist

Various projects dedicated to data analysis via the use of SQL

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

Deep learning-based outlier/anomaly detection

A curated list of awesome responsible machine learning resources.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

A List of Data Science/Machine Learning Resources (Mostly Free)

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing

Solutions to all quiz and all the programming assignments!!!

Deep Learning Specialization by Andrew Ng on Coursera.

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP