Repository Index

Code and documentation to train Stanford's Alpaca models, and generate the data.

• deep-learning
• instruction-following
• language-model

☁️ Build multimodal AI applications with cloud-native stack

• neural-search
• cloud-native
• deep-learning
• machine-learning

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

• yolox
• yolov3
• onnx
• tensorrt

Deep neural network to extract intelligent information from invoice documents.

• invoice
• invoice-management
• invoices
• invoice-insight

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

• image-processing
• images
• image-analysis
• deep-learning