adinmg's repositories
movie_recommender_system
Movie recommendation system using collaborative, hybrid filtering and vector database
QC-App-Oriented-Benchmarks
QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science and engineering.
url_downloader
basic url downloader
100-Days-of-Pennylane
100 Days of Pennylane
amazon-braket-examples
Example notebooks that show how to apply quantum computing in Amazon Braket.
book_genre_classifier
Book genre classification with fine-tuned and LoRA techniques on Huggin Face Transformers and Scikit-Learn classifiers
CERN-Quantum-Computing-Course
Quantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB
dog_breed_classifier
Dog Breed Classification with Transfer Learning in TensorFlow
MongoSpeakApp
MongoSpeakApp: A language tool using MongoDB, gTTS, LangChain, and Streamlit
Vit-classifier-pytorch
Implementation of Vision Transformer, ViT paper, for urban sound classification. In Pytorch
complete-python-course
A repository of code from my Complete Python Course on Udemy.
CompoundScripts
Collection of 'compound scripts' for use with the ORCA quantum chemistry software
Contribution-Guidelines
Guide for contributions
Dancing-with-Python
Code Repository for Dancing with Python, Published by Packt
data-engineering-zoomcamp
Free Data Engineering course!
generative_ai_flask
Generative AI Developed in Flask
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
MNIST
Ajuste a los datos de MNIST con métodos de clasificación y aprendizaje profundo
penguin_machines
A flask app to get penguins
PyTorch_Utils
This repository contains a collection of modules and utilities for PyTorch
QHack2023
Quantum Chemistry Challenge
QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
question_answer_app
Question Answer Flask App Using Transformers LLMs
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
tensorflow-1-public
Tensorflow course containing notebooks
udlbook
Understanding Deep Learning - Simon J.D. Prince
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Xanadu-Quantum-Codebook
Learn quantum computing interactively with PennyLane