Repositorio Ramo Machine Learning for Business Inteligence - Udec 2020-1 (Deep Learning with tensorflow)

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Visualizer for neural network, deep learning and machine learning models

A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.

Curated list of Python resources for data science.

Deepfakes Software For All

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

AI on Hadoop

Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴

A Python Library for Graph Outlier Detection (Anomaly Detection)

Low-code framework for building custom LLMs, neural networks, and other AI models

Simple yet powerful deep learning

NeuroMelNet - End-to-End binary classification model for AI speech detection with PyTorch implementation. Python API & Tg-bot API

HeFlwr: Federated Learning for Heterogeneous Devices

AlphaZero based engine for the game of Go (圍棋/围棋).

MATLAB Project

PyTorch is an open-source machine learning library developed by Facebook's AI Research lab (FAIR). It is widely used for deep learning applications and is known for its ease of use, flexibility, and dynamic computation graph, which allows for more intuitive and flexible model building compared to static graph frameworks like TensorFlow.

This repository contains machine learning and deep learning projects from beginner to advanced, using TensorFlow and scikit-learn and other dependencices.