TensorFlow-NEAT

Deep Neuroevolution

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Curated list of methods that focuses on improving the efficiency of diffusion models