A streamlit Dashboard for the COVID-19 spread.
The app is live at: [https://covid19.cwerner.ai].
New data is queried from GitHub. If you think you don't see the latest click on on the "Hamburger" menue on the top right and clear the cache, then rerun the app.
Kapre Keras Audio Preprocessors - compute STFT, ISTFT, Melspectrogram, and others on GPU real-time. Tested on Python 3.6 and 3.7 Why Kapre? vs. Pre-co
STARCH (Storm Tracking And Regional CHaracterization) STARCH computes regional extreme storm physical and moisture balance characteristics based on sp
Heterogeneous Temporal Graph Neural Network This repository contains the datasets and source code of HTGNN. run_mag.ipynb is the training and testing
Update: if you're looking for ColBERTv2 code, you can find it alongside a new simpler API, in the branch new_api. ColBERT ColBERT is a fast and accura
MAAD: A Model for Attended Awareness in Driving Install // Datasets // Training // Experiments // Analysis // License Official PyTorch implementation
BetaFold We (hegelab.org) craeted this standalone AlphaFold (AlphaFold-Multimer,
ddpg-aigym Deep Deterministic Policy Gradient Implementation of Deep Deterministic Policy Gradiet Algorithm (Lillicrap et al.arXiv:1509.02971.) in Ten
تیای بودن! تیای یا دستیار استاد از نقشهای رایج بین دانشجویان مهندسی است، این ریپوزیتوری قرار است نکات مهم درمورد تیای بودن و تی ای شدن را به ما نش
RLDS RLDS stands for Reinforcement Learning Datasets and it is an ecosystem of tools to store, retrieve and manipulate episodic data in the context of
Code samples for "Neural Networks and Deep Learning" This repository contains code samples for my book on "Neural Networks and Deep Learning". The cod
Det3D is the first 3D Object Detection toolbox which provides off the box implementations of many 3D object detection algorithms such as PointPillars, SECOND, PIXOR, etc, as well as state-of-the-art
Semi-Online Knowledge Distillation Implementations of SOKD. Requirements This repo was tested with Python 3.8, PyTorch 1.5.1, torchvision 0.6.1, CUDA
On Nonlinear Latent Transformations for GAN-based Image Editing - PyTorch implementation On Nonlinear Latent Transformations for GAN-based Image Editi
PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J
CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models
LWCC: A LightWeight Crowd Counting library for Python LWCC is a lightweight crowd counting framework for Python. It wraps four state-of-the-art models
tf_cnnvis A blog post describing the library: https://medium.com/@falaktheoptimist/want-to-look-inside-your-cnn-we-have-just-the-right-tool-for-you-ad
Expert-Linking Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking." This is
Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc
YOLOX：You Only Look Once目标检测模型在Pytorch当中的实现 目录 性能情况 Performance 实现的内容 Achievement 所需环境 Environment 小技巧的设置 TricksSet 文件下载 Download 训练步骤 How2train 预测步骤
867 Dec 29, 2022
7 Oct 20, 2022
15 Dec 22, 2022
637 Jan 08, 2023
7 Oct 16, 2022
2 Aug 11, 2022
247 Dec 07, 2022
[email protected]">
14 Sep 10, 2022
135 Jan 01, 2023
13.9k Dec 26, 2022
1.4k Jan 05, 2023
4 Dec 19, 2021
22 Oct 24, 2022
14 Nov 13, 2022
54 Dec 17, 2022
39 Dec 28, 2022
778 Jan 02, 2023
12 Jan 01, 2023
35 Dec 28, 2022
613 Jan 05, 2023