deblinaml

Audio-signal-separation

Analyzing monoaural mixed signal and separating it into its sources. Classifying and predicting the source of the sound signal.

Computer-Vision

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dunit

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

python-deep-learning

Deep learning made easy in Python

ComicsDepth

(WACV 2022) Estimating Image Depth in the Comics Domain

Dunit

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

FG-NIC

(IEEE SPL 2021) Fidelity-Guided Noisy Image Classification

MulT

(CVPR 2022) MulT: An End-to-End Multitask Learning Transformer

VTAGML

(ICCV 2023) Vision Transformer Adapters for Generalizable Multitask Learning

deblinaml/dunit

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

deblinaml/darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deblinaml/Apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

deblinaml/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

deblinaml/Awesome-Self-Supervised-Papers

Paper bank for Self-Supervised Learning

deblinaml/Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

deblinaml/ComicsDepth

(WACV 2022) Estimating Image Depth in the Comics Domain

deblinaml/CRAFT-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

deblinaml/cvlab-kubernetes-guide

Instructions and utilities for use of EPFL's compute cluster.

deblinaml/deblinaml.github.io

deblinaml/deep-generative-prior

Code for deep generative prior (ECCV2020 oral)

deblinaml/DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

deblinaml/DIS

Course Material for Distributed Information Systems 2020

deblinaml/ECANet

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

deblinaml/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.

deblinaml/KAIR

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

deblinaml/leetcode-java

Leetcode solutions

deblinaml/leetcode-python

Python & JAVA Solutions for Leetcode

deblinaml/markdown-here

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

deblinaml/MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

deblinaml/PlotNeuralNet

Latex code for making neural networks diagrams

deblinaml/pretrained-models.pytorch

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

deblinaml/probability

Probabilistic reasoning and statistical analysis in TensorFlow

deblinaml/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

deblinaml/pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

deblinaml/SickZil-Machine

Manga/Comics Translation Helper Tool

deblinaml/SOD-CNNs-based-code-summary-

The summary of code and paper for salient object detection with deep learning

deblinaml/taskgrouping

Code for Which Tasks Should Be Learned Together in Multi-task Learning?

deblinaml/taskonomy

Taskonomy: Disentangling Task Transfer Learning

deblinaml/TransDepth

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction