Framework and Language for Neurosymbolic Programming.
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Updated
May 1, 2025 - Rust
Framework and Language for Neurosymbolic Programming.
A software engineering framework to jump start your machine learning projects
TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.
A tiny deep neural network framework developed from scratch in C++ and CUDA.
A curated list of awesome Machine Learning frameworks, libraries and software.
A modern educational deep learning framework for students, engineers and researchers
Mythral Neurosymbolic AI
🏄 A Lightweight Web Browser-based Machine Learning Framework
Dynamic Neural Network Refinement (DNNR) is an advanced framework that allows neural networks to adapt in real time. Unlike static systems, DNNR refines network parameters on-the-fly to optimize performance. Its modularity ensures easy customization for versatile applications.
A Machine Learning library that allows users to create their own datasets and use models without having to write too much code. Built with Python.
CTorch is a super lightweight C implementation of PyTorch, built for learning and exploration. It's a "just for fun" project to dive into understanding the basics of machine learning frameworks.
Machine learning framework for Rust
This repository serves as a comprehensive showcase of my skills and expertise in data science, encompassing various projects and exercises completed throughout the bootcamp.
Docker image used in Apolo Platform Template with pre-installed ML frameworks
Neural network framework implemented from "scratch" with Python and Numpy for matrix operations
MarioPPO implementation uses the TensorFlow machine learning platform
Super Simple AI framework!
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