AidForBlind
Recommended PyCharm IDE
Various Libraries used like OpenCV and other mentioned in Requirements.txt
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Discord: VENGE4NCE#3847
New AidForBlind - Various Libraries used like OpenCV and other mentioned in Requirements.txt
Overview
GUPNet - Geometry Uncertainty Projection Network for Monocular 3D Object Detection
GUPNet This is the official implementation of "Geometry Uncertainty Projection Network for Monocular 3D Object Detection". citation If you find our wo
103 Dec 28, 2022
PyTorch IPFS Dataset
PyTorch IPFS Dataset IPFSDataset(Dataset) See the jupyter notepad to see how it works and how it interacts with a standard pytorch DataLoader You need
2 Apr 13, 2022
Set of models for classifcation of 3D volumes
Classification models 3D Zoo - Keras and TF.Keras This repository contains 3D variants of popular CNN models for classification like ResNets, DenseNet
69 Dec 28, 2022
Face detection using deep learning.
Face Detection Docker Solution Using Faster R-CNN Dockerface is a deep learning face detector. It deploys a trained Faster R-CNN network on Caffe thro
181 Dec 19, 2022
A list of multi-task learning papers and projects.
This page contains a list of papers on multi-task learning for computer vision. Please create a pull request if you wish to add anything. If you are interested, consider reading our recent survey pap
297 Dec 17, 2022
Restricted Boltzmann Machines in Python.
How to Use First, initialize an RBM with the desired number of visible and hidden units. rbm = RBM(num_visible = 6, num_hidden = 2) Next, train the m
928 Dec 30, 2022
Offical code for the paper: "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata" https://arxiv.org/abs/2103.08737
Growing 3D Artefacts and Functional Machines with Neural Cellular Automata Video of more results: https://www.youtube.com/watch?v=-EzztzKoPeo Requirem
51 Jan 01, 2023
High frequency AI based algorithmic trading module.
Flow Flow is a high frequency algorithmic trading module that uses machine learning to self regulate and self optimize for maximum return. The current
59 Dec 14, 2022
[ICLR 2022] Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
CPDeform Code and data for paper Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics at ICLR 2022 (Spotlight). @InProceed
29 Nov 29, 2022
Encoding Causal Macrovariables
Encoding Causal Macrovariables Data Natural climate data ('El Nino') Self-generated data ('Simulated') Experiments Detecting macrovariables through th
3 Jul 31, 2022
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepCTR DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can
6.6k Jan 08, 2023
level1-image-classification-level1-recsys-09 created by GitHub Classroom
level1-image-classification-level1-recsys-09 ❗ 주제 설명 COVID-19 Pandemic 상황 속 마스크 착용 유무 판단 시스템 구축 마스크 착용 여부, 성별, 나이 총 세가지 기준에 따라 총 18개의 class로 구분하는 모델 ?
6 Mar 17, 2022
Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.
Parameterized AP Loss By Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai This is the official implementation of the Neurips 2021
46 Jul 06, 2022
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models Jonathan Ho, Ajay Jain, Pieter Abbeel Paper: https://arxiv.org/abs/2006.11239 Website: https://hojonathanho.g
1.5k Jan 08, 2023
Source code for "Understanding Knowledge Integration in Language Models with Graph Convolutions"
Graph Convolution Simulator (GCS) Source code for "Understanding Knowledge Integration in Language Models with Graph Convolutions" Requirements: PyTor
10 Oct 18, 2022
TransReID: Transformer-based Object Re-Identification
TransReID: Transformer-based Object Re-Identification [arxiv] The official repository for TransReID: Transformer-based Object Re-Identification achiev
569 Dec 30, 2022
A collection of semantic image segmentation models implemented in TensorFlow
A collection of semantic image segmentation models implemented in TensorFlow. Contains data-loaders for the generic and medical benchmark datasets.
16 Dec 06, 2019
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
Image Classification Project Killer in PyTorch This repo is designed for those who want to start their experiments two days before the deadline and ki
349 Dec 08, 2022
Deep Reinforcement Learning for Keras.
Deep Reinforcement Learning for Keras What is it? keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python and seaml
0 Dec 15, 2022
Deep Sketch-guided Cartoon Video Inbetweening
Cartoon Video Inbetweening Paper | DOI | Video The source code of Deep Sketch-guided Cartoon Video Inbetweening by Xiaoyu Li, Bo Zhang, Jing Liao, Ped
37 Dec 22, 2022