Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence

A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

This is a python app associated with a flask web app for associating gestures to certain actions on your PC

Solving Inverse Dynamics of 3-UPU Parallel Kinematic Mechanism with Physics-Guided Neural Network

Classifier for detection of defects in clothes

A terrain erosion algorithm made with deep learning.

Unofficial errata for the book "Neural Networks and Deep Learning: A Textbook."

Gnocis is a system for the interactive and reproductible analysis and modelling of cis-regulatory DNA sequences in Python 3

A small walk-through to show why ReLU is non linear!

PyTorch seq2seq implementation. Includes pretrained models for jokes<>punchlines and english<>french.

Pymimic3 is a scalable experimentation platform for MIMIC-III, featuring ready-to-run models, fully tested utilities for concept drift research, and a parallelized, configurable data pipeline.

Open-source observability for your LLM application, based on OpenTelemetry

A Simple example to show Why Data Normalization is necessary for Deep Learning

Course materials, lecture notes, and assignments for the Applied Machine Learning course. Covers classical ML to deep learning and modern architectures (CNNs, RNNs, Transformers, LLMs).

Discovery of LLM and prediction models in Kotlin and using them to build a website

Machine Learning and Deep learning-based time series forecasting of Bitcoin stock prices using TensorFlow