Allan C. Maheri's Projects
Supplementary resources for our complete web development course (https://acad.link/web-dev).
The DevKit of the 3DHD CityScenes dataset providing a deep learning pipeline for map element recognition and map deviation detection.
check for passive words, weasel words, duplicate words, typographical errors and words strunk & white don't like
Config files for my GitHub profile.
ADTF File Library - famous, streaming-based file format for high performance data measurement
Advanced Statistics as taught in IU Hochschule
Augmentations usage examples for albumentations library
A collection of algorithms and data structures
CrystaX NDK - Native Development Kit for Android
š§āš« 60 Implementations/tutorials of deep learning papers with side-by-side notes š; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), š® reinforcement learning (ppo, dqn), capsnet, distillation, ... š§
An anonymizer to obfuscate faces and license plates.
An open autonomous driving platform
Autoware - the world's leading open-source software project for autonomous driving
The official GitHub repository for the Argoverse 2 dataset.
The most cited deep learning papers
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
:metal: awesome-semantic-segmentation
A simple tool for labeling object bounding boxes in images
Source code for demos in Complete Modern C++ course.
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
This is a repository for an object detection inference API using the Tensorflow framework.
This is a repository for an object detection inference API using the Tensorflow framework.
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! Training with TensorFlow has never been so easy.
This is a repository for an object detection inference API using the Yolov3 Opencv.
This is a repository for an object detection inference API using the Yolov3 Darknet framework.
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 and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.
The Standard Algorithms in C++.
The figures for the Deep Learning textbook (www.deeplearningbook.org)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent