Introducing neural networks to predict stock prices

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

Artificial neural network classes and tools in Python and TensorFlow.

[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

A deep learning model to classify the Arabic letters and digits easily.

"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)

Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database

Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.

Autonomous RC car using Raspberry Pi. Uses picamera data, OpenCV for processing, along with ultrasonic sensor data to drive autonomously.

load point forecast

PyDTNN - Python Distributed Training of Neural Networks

Code for TKDE paper "A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation"

用java寫的MLP，總程式不到一千行，可使用主流十幾種激勵函數。

Infinite-width neural networks from a practical point of view

A lightweight neural network framework in C

A feedforward multi-layer perceptron Artificial Neural Network (ANN) model for MATLAB

A GA (Genetic Algorithm) optimized MLP (MultiLayer Perceptron) Network

evMLP: An Efficient Event-Driven MLP Architecture for Vision

AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Multi-Waypoint Navigation.

This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.