shabbirmarzban Goto Github PK

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

clm

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

compvis

Computer Vision Company

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

datalogue_challenge

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

imgaug

Image augmentation for machine learning experiments.

imgclsmob

Sandbox for training convolutional networks for computer vision

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

kervolution-pytorch

Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.03955.pdf)

kinectv2_opencv_viz

rep for vizualiaing kinect data in opencv viz

kinectv2opencv

learn_julia

matlab_htk

MATLAB functions that interface with the HTK Speech Recognition Toolkit (http://htk.eng.cam.ac.uk/) for training HMMs, GMMs and simple speech recognizers.

models

Models and examples built with TensorFlow

openseg.pytorch

We achieve SOTA on 6 different semantic segmentation benchmarks

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

projectkinectv2tomex

pytorch-prunes

Code for https://arxiv.org/abs/1810.04622

semantic-segmentation

Improving Semantic Segmentation via Video Propagation and Label Relaxation

serve

Serve, optimize and scale PyTorch models in production

shabbirmarzban.github.io

switchable-normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

tf-colab