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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
A simple screen parsing tool towards pure vision based GUI agent
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
A course on aligning smol models.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Practical course about Large Language Models.
A collection of guides and examples for the Gemma open models from Google.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory wi…
Springboard Program: Data Science Career Track - NLP
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
Repository for the Data Science learning track to host assignments.
In this project, several approaches for training/finetuning an audio gender recognition is provided. The code can simply be used for any other audio classification task by simply changing the numbe…
Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online as…
Visual Question Answering in PyTorch with various Attention Models
Reinforcement Learning guided Multi-task Learning Framework for Stereotype Detection
EDIA: Stereotypes and Discrimination in Artificial Intelligence
In this project, we scrape instagram captions and comments and annotate them for sexism. We use the annotated data in order to create a system which detects whether a sentence is sexist or about se…
This project aims to investigate different models for solving the stereotype detection task.
Master thesis project on detecting stereotypes in Slovenian language models
Our submission to the PAN@CLEF2022 task on Irony and Stereotype Spreaders Detection