Chansa Kabwe's Projects
Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Implementation of common algorithms
Example š Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using š§ Amazon SageMaker.
An experimental open-source attempt to make GPT-4 fully autonomous.
Specification and Implementation of Quantum Common Lisp, for gate-model quantum computers
The Common Lisp Cookbook
Common Lisp Machine Learning Library
The Python programming language
Deep Learning (Python, C, C++, Java, Scala, Go)
Awesome Django Markdown Editor, supported for Bootstrap & Semantic-UI
An e-commerce marketplace back-end in Go with a RESTful API
rtmp server by golang, with flv support
golang-AWS-S3-SDK-Example
A blog engine written in Go, compatible with Ghost themes.
Golang audio/video library and streaming server
SwiftUI tutorial application
Movie Tickets Booking App with React Native Tutorial
Jekyll theme based on Freelancer Start Bootstrap theme
Additional ROS nodes for the Nao humanoid, continues from the "nao_common" stack
c++ bridge based on libqi
Neuralisp is a modular machine learning framework for Common Lisp, focused on deep learning models. It offers a high-performance tensor library, various neural network layers, activation functions, optimizers, and loss functions. Designed for rapid model creation, training, and testing across diverse tasks.