marvision-ai

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

streamlit

Streamlit — A faster way to build and share data apps.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

loguru

Python logging made (stupidly) simple

hacker-roadmap

A collection of hacking tools, resources and references to practice ethical hacking.

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

fsociety

fsociety Hacking Tools Pack – A Penetration Testing Framework

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

keras-retinanet

Keras implementation of RetinaNet object detection.

vidgear

A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:

catalyst

Accelerated deep learning R&D

HackingNeuralNetworks

A small course on exploiting and defending neural networks

Object-Detection-and-Tracking

Object Detection and Multi-Object Tracking

JobFunnel

Scrape job websites into a single spreadsheet with no duplicates.

deepstream_python_apps

DeepStream SDK Python bindings and sample applications

keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

BMW-TensorFlow-Training-GUI

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

ActionAI

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

SegmenTron

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

BMW-YOLOv4-Training-Automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

notebooks

RAPIDS Sample Notebooks

NVIDIA-Deepstream-Azure-IoT-Edge-on-a-NVIDIA-Jetson-Nano

This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.

stylegan2-colab

StyleGAN2 - Colab Notebook containing code for training + visualization + projection

react-ml-app

A machine learning example app: dog classification in the browser

pypylon-opencv-viewer

Easy to use Jupyter notebook viewer connecting Basler Pylon images grabbing with OpenCV image processing. Allows to specify interactive Jupyter widgets to manipulate Basler camera features values, grab camera image and at once get an OpenCV window on which raw camera output is displayed or you can specify an image processing function, which takes on the input raw camera output image and display your own output.

AGXDocker

AGX-Docker is a bash script that enables nvidia-docker like functionality on the NVIDIA AGX Product line.

dataset_converter