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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dis

Course Material for Distributed Information Systems 2020

drnn4ass

Deep Recurrent Neural Network for Audio Source Separation

dunit

(CVPR 2020) DUNIT: Detection-Based Unsupervised Image-to-Image Translation

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

epfl_thesis_template

Unofficial template for the PhD thesis at EPFL maintained by PolyDoc

eqcorrscan

Earthquake detection and analysis in Python.

fbcuda

Facebook's CUDA extensions.

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

lectures

Oxford Deep NLP 2017 course

leetcode-google

Google interview questions implementation

leetcode-java

Leetcode solutions

leetcode-python

Python & JAVA Solutions for Leetcode

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

midas

Code for robust monocular depth estimation described in "Lasinger et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer, arXiv:1907.01341"

ml_course

EPFL Machine Learning Course, Fall 2019

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

monocular_depth

msnoise

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

munit

Multimodal Unsupervised Image-to-Image Translation

pix2depth

Depth Map Estimation from Monocular Images

plotneuralnet

Latex code for making neural networks diagrams

pretrained-models.pytorch

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

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pyramid-attention-networks

PyTorch code for "Pyramid Attention Networks for Image Restoration" with new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution