Amin Taghizadeh's repositories
awesome-CARLA
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
awesome-tensorflow-2
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
Tensorflow-Object-Detection-API-google-colab
Use Tensorflow Object Detection API in google colab (A notebook to show How to do that step by step)
Self-Driving-Cars
Coursera Open Courses from University of Toronto
build-your-own-x
🤓 Build your own (insert technology here)
alias-free-gan
Alias-Free GAN project website and code
ar-cutpaste
Cut and paste your surroundings using AR
badges
:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yourse!
Barbershop
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
carla
Open-source simulator for autonomous driving research.
Carla-Object-Detection-Dataset
Labeled Dataset for Object Detection in Carla Simulator
color-studio
It is too hard to build coherent and accessible themes with the right colors. This should help.
git-flight-rules
Flight rules for git
interactive-deep-colorization
Deep learning software for colorizing black and white images with a few clicks.
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
kili-blogger-program
Kili Blogger Program
Persian_VQA
Final project of the Deep Learning course.
raccoon_dataset
The dataset is used to train my own raccoon detector and I blogged about it on Medium
Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Vehicle-Counting
Video-based vehicle counting system built with Python/OpenCV.
vscode-tools-for-ai
VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.