Chris-hughes10

pytorch-accelerated

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

Yolov7-training

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.

func-to-script

YOLOX

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

code-with-engineering-playbook

This is the playbook for "code-with" customer or partner engagements

deeplearning_keras2

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

DeployDLKubeflowAKS

Deploying CNN using Kubeflow on Azure Kubernetes Service

mlflow

Open source platform for the machine learning lifecycle

Swin-Transformer-Object-Detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

vscode-theme

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors