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ai-projects

Artificial Intelligence projects, documentation and code.

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

aws-certified-cloud-practitioner-notes

AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bvae-tf

Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)

captum

Model interpretability and understanding for PyTorch

case-study-credit-data

different classification techniques applied to german_credit_dataset

case-study-iowa-house-dataset

regression techniques applied to iowa hose dataset

case-study-uk-accidents-2016

Road Safety. Reduce the number of accidents in 2017 based on data from 2016 collected by City of York Council about Road Safety in York (UK)

character-based-cnn

Implementation of character based convolutional neural network

chatfaq

Elevate user interactions with ChatFAQ: your open-source chatbot solution, offering the full spectrum of ChatGPT capabilities. AI + LLM + CMS

clean-code-python-es

Guía en español: Clean Code Python

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-timeseries-analysis-with-pandas

datalab-samples

deep-learning-for-time-series-forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-with-python

Deep learning codes and projects using Python

deep_learning_course

deep learning course 202401

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai

Materials from deeplearning.ai course on Coursera

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deteccion_de_anomalias

Detección de Anomalías con Python Pandas

disentangled-autoencoders

University of Cambridge - Dissertation

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.