Digital Image Processing Python
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python
TO-DO:
- Refactor scripts, currently they just work
- Document
- Add argparse
- Improve complexity
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python
Overview
Unsupervised captioning - Code for Unsupervised Image Captioning
Unsupervised Image Captioning by Yang Feng, Lin Ma, Wei Liu, and Jiebo Luo Introduction Most image captioning models are trained using paired image-se
207 Dec 24, 2022
ColossalAI-Benchmark - Performance benchmarking with ColossalAI
Benchmark for Tuning Accuracy and Efficiency Overview The benchmark includes our
31 Oct 07, 2022
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation Woncheol Shin1, Gyubok Lee1, Jiyoung Lee1, Joonseok Lee2,3, Edward Ch
7 Sep 26, 2022
Semi-supervised Implicit Scene Completion from Sparse LiDAR
Semi-supervised Implicit Scene Completion from Sparse LiDAR Paper Created by Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou and YA-QIN ZH
114 Nov 30, 2022
a grammar based feedback fuzzer
Nautilus NOTE: THIS IS AN OUTDATE REPOSITORY, THE CURRENT RELEASE IS AVAILABLE HERE. THIS REPO ONLY SERVES AS A REFERENCE FOR THE PAPER Nautilus is a
158 Dec 28, 2022
Docker containers of baseline agents for the Crafter environment
Crafter Baselines This repository contains Docker containers for running various baselines on the Crafter environment. Reward Agents DreamerV2 based o
17 Sep 25, 2022
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep Reinforcement Learning Algorithms with PyTorch This repository contains PyTorch implementations of deep reinforcement learning algorithms and env
4.7k Jan 04, 2023
Transparent Transformer Segmentation
Transparent Transformer Segmentation Introduction This repository contains the data and code for IJCAI 2021 paper Segmenting transparent object in the
140 Jan 02, 2023
Piotr - IoT firmware emulation instrumentation for training and research
Piotr: Pythonic IoT exploitation and Research Introduction to Piotr Piotr is an emulation helper for Qemu that provides a convenient way to create, sh
51 Nov 09, 2022
PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs (ConvNet-AIG) This repository contains a PyTorch implementation of the paper Convolutional Netwo
176 Dec 07, 2022
Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems
AequeVox Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems README under development. Python Packages Required
2 Aug 28, 2022
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals, CVPR2021
End-to-End Object Detection with Learnable Proposal, CVPR2021
1.2k Dec 27, 2022
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
torchsynth The fastest synth in the universe. Introduction torchsynth is based upon traditional modular synthesis written in pytorch. It is GPU-option
229 Jan 02, 2023
HW3 ― GAN, ACGAN and UDA
HW3 ― GAN, ACGAN and UDA In this assignment, you are given datasets of human face and digit images. You will need to implement the models of both GAN
1 Dec 13, 2021
A Human-in-the-Loop workflow for creating HD images from text
A Human-in-the-Loop? workflow for creating HD images from text DALL·E Flow is an interactive workflow for generating high-definition images from text
2.5k Jan 02, 2023
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field
86 Dec 21, 2022
Disturbing Target Values for Neural Network regularization: attacking the loss layer to prevent overfitting
Disturbing Target Values for Neural Network regularization: attacking the loss layer to prevent overfitting 1. Classification Task PyTorch implementat
0 Apr 24, 2022
Fermi Problems: A New Reasoning Challenge for AI
Fermi Problems: A New Reasoning Challenge for AI Fermi Problems are questions whose answer is a number that can only be reasonably estimated as a prec
15 May 28, 2022
PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML)
pytorch-maml This is a PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML): https://arxiv
516 Jan 05, 2023
Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Faster R-CNN pretrained on VisualGenome This repository modifies maskrcnn-benchmark for object detection and attribute prediction on VisualGenome data
7 Apr 20, 2021