Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
NYU-DLSP20
Our great sponsors
| Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | NYU-DLSP20 | |
|---|---|---|
| 8 | 2 | |
| 57 | 6,625 | |
| - | - | |
| 3.6 | 6.1 | |
| about 3 years ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
NYU-DLSP20
-
A collection of some of the best PyTorch courses for beginners to learn PyTorch online
And of course our NYU DL course 😉 https://github.com/Atcold/pytorch-Deep-Learning
-
Week 6 practicum notebook
I am going through week 6 practicum notebook. Can someone shed some light on the following code in train method:
What are some alternatives?
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
nlp-class - A Natural Language Processing course taught by Professor Ghassemi
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
dl-colab-notebooks - Try out deep learning models online on Google Colab
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.