A system for creating neural networks in C

Feedforward Neural Network Classifier in C++ • Data Handling, Training, Prediction, and Evaluation

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

Statistical Machine Learning and Feedforward Neural Networks: Linear Regression

This project focuses on detecting fake content generated by language models. The domain for this project is scientist biographies, where real biographies were sourced from Wikipedia, and fake ones were generated using a fine-tuned GPT-2 model.

Letters and numbers classifier for chess games using computer vision and neural networks.

Python implementation of a Feed-Forward Backpropagation neural network using only the standard library

This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.

A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)

A machine learning trigger bot for Quake3 Arena & Quake Live.

Attempts to take an image of a face and convert it to a 3D head.

This project showcases a dataset of Amazon Reviews in Hindi, which we created ourselves. We applied various machine learning methods including Naive Bayes, SVM, and Decision Tree, using both Bag-of-Words and TF-IDF. Additionally, we experimented with deep learning techniques such as Feedforward Neural Networks and LSTM with ELMO embeddings.

A deep learning library for use in high-performance computing applications in modern Fortran

Feed forward neural network implementation from scratch in python using numpy.

implements 8 deep learning models for handwritten digit classification using the MNIST dataset, with variations in architecture and activation functions.

learning python day 11

Feedforward Neural Network Coprocessing Microcontroller Unit (CPC via UART) for STM32F103C8T6 Bluepill Development Board written purely in TinyGo.

This repository features detailed explanations of each topic along with a project on each topic of Machine learning.