MOSES OLAFENWA's repositories
Traffic-Net
A dataset of traffic, fire and accident images for training deep learning models.
DeepStack_ExDark
A DeepStack custom model for detecting common objects in dark/night images and videos.
Action-Net
A dataset of images for artificial intelligence models to recognize human actions.
ImageAIDocumentation
Official English Documentation of ImageAI
DeepStack_ActionNET
A custom DeepStack model for detecting 16 human actions.
DeepStack_OpenLogo
A DeepStack custom model for detecting 352 common logos
Model-Playgrounds
A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
heartbeat-android
A collection of experiences utilizing machine learning models with Fritz
AppleDetection
A dataset for detecting healthy and damaged apples
CNNArchitectures
Code implementation of major Convolutional Neural Networks
DeepStack-1
The World's Leading Cross Platform AI Engine for Edge Devices
DenseNet-Keras
DenseNet Implementation in Keras with ImageNet Pretrained Models
llama-cpp-python
Python bindings for llama.cpp
llama.cpp
Port of Facebook's LLaMA model in C/C++
segment-caption-anything
The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloading the trained model checkpoints, and example notebooks / gradio demo that show how to use the model.