A curated list of awesome Python frameworks, libraries, software getting started tutorial

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SimonBlanke Simple and reliable optimization with local, global, population-based and sequential techniques in numerical search spaces.

yanyan-li A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.

vita-epfl MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.

google Monster Mash is a new sketch-based modeling and animation tool that allows you to quickly sketch a character, inflate it into 3D, and promptly animate it. You can perform all interactions in the sketching plane. No 3D manipulation

scut-mingqinchen Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image

jac99 The paper presents a learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Existing methods, such as PointNetVLAD, are based on unordered point cloud representation.

MIRALab-USTC The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

HikariTJU LD is the extension of knowledge distillation on localization task, which utilizes the learned bbox distributions to transfer the localization dark knowledge from teacher to student.

paulgp This course is primarily designed for graduate students interested in econometric methods used in empirical research. The goal of this class is to provide an overview of different empirical methods, with an emphasis on practical i

rainygirl 2011년부터 2018년까지 운영되었던 인디스트릿의 공연/뮤지션/공연장 데이터를 CC BY 라이센스 로 공개합니다.

DataDog I've just started a new job at Datadog to work on Continuous Profiling for Go. To make sure that I know what I'm talking about, I'm planning to do an in-depth study of the existing profilers and how they work. I'll try to summariz

loseys BlackMamba is a multi client C2/post exploitation framework with some spyware features. Powered by Python 3.8.6 and QT Framework.

orangetw Collections of Orange Tsai's public presentation slides.

DevsHelpDevs Let's develop a community run charity platform that helps to provide developers with the needed tools to work

horizon3ai Proof of Concept Exploit for vCenter CVE-2021-21972

parallel-execute python wrappers for easy multiprocessing and threading

GuanhuaWang sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

jankapunkt A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!

Sniper970119 本程序可以爬取大众点评搜索页、详情页以及评论页中的相关信息,并将结果写入文件或数据库中。

treeform Spatial algorithms are used to find the "closest" things faster than simple brute force iteration would. They make your code run faster using smarter data structures. This library has different "Spaces" that you can use to speed u

xrenaa In this repo, we propose an unsupervised and model-agnostic method: Disentanglement via Contrast (DisCo) in the Variation Space. This code discovers disentangled directions in the latent space and extract disentangled representati

grandfoobah Emacs for Spartans

samuel1212703 Made to take any file format, and transform it into ascii art, displayed as a video in the cmd. If the cmd formatting is wrong, try zooming a little and remember to make cmd fullscreen. I made my cmd fullscreen, and zoomed out one

anticomputer A thin ui veneer on top of Magit/Forge porcelain for juggling large amounts of GitHub notifications at speed.

MarshalX The earliest beta version of pytgcalls on Linux x86_64 and ARM64! Use in production at your own risk!

d3k4z ffuf is gaining a lot of traction within the infosec community as a fast portable web fuzzer. It has been compared and aligned (kinda) to Burp's Intruder functionality. Thus, Copy As FFUF is trying to build that interoperatability

hanjuku-kaso This is a collection of research and review papers for offline reinforcement learning (offline rl).

HanxunH Code for ICML2020 paper [“Normalized Loss Functions for Deep Learning with Noisy Labels"]

djiajunustc Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

facebookresearch MTRL is a library of multi-task reinforcement learning algorithms

894346698 A framework for implementing federated learning

eezkni Pytorch implementation of the TIP paper, Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network

dzunigan Implementation of "An Analytical Solution to the IMU Initialization Problem for Visual-Inertial Systems"