thestonemx Goto Github PK

a-search-route-planning

Udacity ND for Path/Route Planning on OpenStreetMap using A* Search Algorithm. It uses IO2D library for the graphics rendring.

adaptive-learning-rate-stop

Adaptive Learning Rate

aptos-2019

APTOS 2019 Blindness Detection Detect diabetic retinopathy to stop blindness before it's too late

aws-deepracer-workshops

DeepRacer workshop content

c-capstone-snake-game

This C++ project is the fifth and final project of the Udacity C++ Nanodegree

chatgpt-llamaindex

LlamaIndex is a simple, flexible interface between your external data and LLMs

cloud-build-cd

This project demonstrates a robust Continuous Deployment (CD) pipeline designed to streamline the process of deploying applications. Leveraging industry-standard tools and practices, this repository provides a comprehensive setup for automating the deployment of code changes to production environments efficiently and reliably.

concurrent-traffic-simulation

This is the project for the fourth course in the [Udacity C++ Nanodegree Program](https://www.udacity.com/course/c-plus-plus-nanodegree--nd213): Concurrency.

conversation_with_gpt4o

GPT-4o can interact with the API using voice commands, and the API will be able to understand and respond to those commands.

cppnd-memory-management-chatbot

Purpose : In this project you will analyze and modify an existing ChatBot program, which is able to discuss some memory management topics based on the content of a knowledge base. The program can be executed and works as intended. However, no advanced concepts as discussed in this course have been used. There are no smart pointers, no move semantics and not much thought has been given on ownership and on memory allocation.

deteccion-de-genero

El modelo keras se crea al entrenar SmallerVGGNet desde cero en alrededor de 2200 imágenes faciales (~ 1100 para cada clase). La región de la cara se recorta aplicando face detectionusando cvliblas imágenes recopiladas de Google Images. Obtuvo alrededor del 96% de precisión de entrenamiento y ~ 90% de precisión de validación. (20% del conjunto de datos se usa para la validación)

facedetectiontrainner

faceenroll-base-line

Unlike Eigenface and Fisherfaces we use CNN/OpenFace Enrollment

faceidentification

Face Identification software developed in C#

fastai2

Temporary home for fastai v2 while it's being developed

fastai2---spanish

La libreria de alto nivel para aprender e implementar Redes Neunorales con Pytorch

fer_2013_kaggle_top_4

Challenges in Representation Learning: Facial Expression Recognition Challenge

filters4facerecognition

Filters 4 Face Recognition

gcp-action-demo

This is a repo for building out Github Actions and Tricks. I test multiple clouds and multiple versions of Python.

gcp-flask-ml-deploy

This is a project to auto-deploy with an ML payload

git-actions-gcp-aws-azure

Example Github Actions Project designed to show how to connect to all three mayor shell

guanaco

Guanaco Spanish finetuned LLaMA Model like ChatGPT

hubmap

Identify glomeruli in human kidney tissue images

intropyproject-classify-pet-images

iris-recognition

Iris recognition systems are being used in access control applications. Several airports are using biometric systems including iris recognition steps for granting access to frequent fliers and decreasing the waiting time at security checkpoints.

lidar_obstacle_detection

This project is based on PCL library that is used to read and process point cloud data obtained using 3D Lidar sensor. Aim is to detect 3d obstacles (other vehicles) in the surrounding of the ego vehicle and create appropriate bounding boxes around them. This repository has code for both the custom (implemented by me) as well as PCL's built in segmentation and clustering methods.

llama-c-plus-plus

Execute a quick model similar to ChatGPT on your personal device. The video demonstration shown below is not accelerated and is being performed on an M1 Mac studio utilizing 4GB of weight.

lora

A detailed Tutorial showing the process of fine-tuning a causal language model using LoRA (Low-Rank Adaptation).

mnist

Performance with MNIST dataset

models

Models and examples built with TensorFlow