bmanobel Goto Github PK
Name: bmanobel
Type: User
Location: Spain
Name: bmanobel
Type: User
Location: Spain
Artificial Intelligence projects, documentation and code.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Python frameworks, libraries, software and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)
Notebooks related to Bayesian methods for machine learning
Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)
Model interpretability and understanding for PyTorch
different classification techniques applied to german_credit_dataset
regression techniques applied to iowa hose dataset
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)
Implementation of character based convolutional neural network
Elevate user interactions with ChatFAQ: your open-source chatbot solution, offering the full spectrum of ChatGPT capabilities. AI + LLM + CMS
Guía en español: Clean Code Python
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Anthropic's educational courses
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.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
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.
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep learning codes and projects using Python
deep learning course 202401
A collection of various deep learning architectures, models, and tips
Materials from deeplearning.ai course on Coursera
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.
Detección de Anomalías con Python Pandas
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.