This repo is an implementation of Deformable Convolution. Ported from author's MXNet implementation.
sh make.sh
CC=g++ python build.py
See test.py for example usage.
Only torch.cuda.FloatTensor is supported.
Mitsuba Renderer 2 Documentation Mitsuba 2 is a research-oriented rendering system written in portable C++17. It consists of a small set of core libra
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Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.
OMLT is a Python package for representing machine learning models (neural networks and gradient-boosted trees) within the Pyomo optimization environment.
VarCnn: The Deep Learning Powered VAR
DistilBERT-Text-mining-authorship-attribution Dataset used: https://www.kaggle.com/azimulh/tweets-data-for-authorship-attribution-modelling/version/2
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