multilayer-perceptron-network

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Fake Image Detection Using Machine Learning

PyTorch tutorial for learners

Gene2Vec: Distributed Representation of Genes Based on Co-Expression

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

Simple multilayer perceptron c++ implementation.

Python package for Granger causality test with nonlinear forecasting methods.

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat

Machine Learning Library, written in J

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

EDUX is a developer friendly Java library for machine learning educational tasks

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

Algorithms & Data Structures Guide

A trading bitcoin agent was created with deep reinforcement learning implementations.

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Tensorflow Examples

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math

From linear regression towards neural networks...