Stars
RadBench is a radiology benchmark framework developed by Harrison.ai.
Repo for the book Discover three.js!
An efficient video loader for deep learning with smart shuffling that's super easy to digest
Unpaired line drawing generation
A sample for onnxparser working with trt user defined plugins for TRT7.0
An unofficial styleguide and best practices summary for PyTorch
Python decorators for profiling/tracing/timing a single function
❗ uplift modeling in scikit-learn style in python 🐍
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Set up a modern web app by running one command.
Readable regular expressions for Python 3.6 and up.
Extracts and formats text annotations from a PDF file
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A collection of AWESOME things about domain adaptation
🦋 Using deep learning to process images of butterflies from the NHM data portal
A PyTorch Library for Accelerating 3D Deep Learning Research
A resource repository for 3D machine learning
Summaries for exciting works in the field of Deep Learning.
Count the MACs / FLOPs of your PyTorch model.
GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…
A PyTorch implementation of EfficientNet
Reference models and tools for Cloud TPUs.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.