407 Repositories
Python Auto-Seg-Loss Libraries
Auto-updater for the Northstar Titanfall 2 client
northstar-updater Auto-updater for the Northstar Titanfall 2 client Usage Put the exe into your Titanfall 2 directory next to Titanfall2.exe Then, whe
Auto Moderation is a powerfull moderation bot
Auto Moderation.py Auto Moderation a powerful Moderation Discord Bot 🎭 Futures Moderation Auto Moderation 🚀 Installation git clone https://github.co
💡 Fully automatic light management based on conditions like motion, illuminance, humidity, and other clever features
Fully automatic light management based on motion as AppDaemon app. 🕓 multiple daytimes to define different scenes for morning, noon, ... 💡 supports
Pytorch implementation of Masked Auto-Encoder
Masked Auto-Encoder (MAE) Pytorch implementation of Masked Auto-Encoder: Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels Official PyTorch Implementation of the paper Simple and Robust Loss Design
Buy early bsc gems with custom gas fee, slippage, amount. Auto approve token after buy
Buy early bsc gems with custom gas fee, slippage, amount. Auto approve token after buy. Sell buyed token with custom gas fee, slippage, amount. And more.
Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn.
Repository Status for Scikit-learn Live webpage Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn. Running local
chainladder - Property and Casualty Loss Reserving in Python
chainladder (python) chainladder - Property and Casualty Loss Reserving in Python This package gets inspiration from the popular R ChainLadder package
FTX auto lending bot with python
FTX auto lending bot Get the API key Check my article for step by step + screenshots Setup & Run Install python 3 Install dependency pip install -r re
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation
Paper Khoi Nguyen, Sinisa Todorovic "A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation", accepted to ICCV 2021 Our code is mai
C Y B Ξ R UserBot is a project that simplifies the use of Telegram. All rights reserved.
C Y B Ξ R USΞRBOT 🇦🇿 C Y B Ξ R UserBot is a project that simplifies the use of Telegram. All rights reserved. Automatic Setup Android: open Termux p
A service to auto provision devices in Aruba Central based on the Geo-IP location
Location Based Provisioning Service for Aruba Central A service to auto provision devices in Aruba Central based on the Geo-IP location Geo-IP auto pr
Auto filter bot for python
Media Search bot Index channel or group files for inline search. When you post file on telegram channel or group this bot will save that file in datab
A tool to auto generate the basic mocks and asserts for faster unit testing
Mock Generator A tool to generate the basic mocks and asserts for faster unit testing. 🎉 New: you can now use pytest-mock-generator, for more fluid p
simple demo codes for Learning to Teach with Dynamic Loss Functions
Learning to Teach with Dynamic Loss Functions This repo contains the simple demo for the NeurIPS-18 paper: Learning to Teach with Dynamic Loss Functio
Auto Click by pyautogui and excel operations.
Auto Click by pyautogui and excel operations.
Texture mapping with variational auto-encoders
vae-textures This is an experiment with using variational autoencoders (VAEs) to perform mesh parameterization. This was also my first project using J
Auto-Lama combines object detection and image inpainting to automate object removals
Auto-Lama Auto-Lama combines object detection and image inpainting to automate object removals. It is build on top of DE:TR from Facebook Research and
Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code.
Build Low Code Automated Tensorflow explainable models in just 3 lines of code.
Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
acLSTM_motion This folder contains an implementation of acRNN for the CMU motion database written in Pytorch. See the following links for more backgro
Toppr Os Auto Class Joiner
Toppr Os Auto Class Joiner Toppr os is a irritating platform to work with especially for students it takes a while and is problematic most of the time
An Auto-Grinding bot made for Pokemeow. Efficient but not many features yet
PokeGrinder 🤖 This is an Auto-Grinding bot made for Pokemeow. Efficient but not many features yet. Supported features This bot can currently handle :
[AAAI 2021] EMLight: Lighting Estimation via Spherical Distribution Approximation and [ICCV 2021] Sparse Needlets for Lighting Estimation with Spherical Transport Loss
EMLight: Lighting Estimation via Spherical Distribution Approximation (AAAI 2021) Update 12/2021: We release our Virtual Object Relighting (VOR) Datas
Code of TIP2021 Paper《SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition》. We provide both MxNet and Pytorch versions.
SFace Code of TIP2021 Paper 《SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition》. We provide both MxNet, PyTorch and Jittor versi
Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss (ATVGnet)
Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss (ATVGnet) By Lele Chen , Ross K Maddox, Zhiyao Duan, Chenliang Xu. Unive
Auto check in via GitHub Actions
因为本人毕业离校,本项目交由在校的@hfut-xyc同学接手,请访问hfut-xyc/hfut_auto_check-in获得最新的脚本 本项目遵从GPLv2协定,Copyright (C) 2021, Fw[a]rd 免责声明 根据GPL协定,我、本项目的作者,不会对您使用这个脚本带来的任何后果
The entmax mapping and its loss, a family of sparse softmax alternatives.
entmax This package provides a pytorch implementation of entmax and entmax losses: a sparse family of probability mappings and corresponding loss func
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Class-balanced-loss-pytorch Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19. Yin Cui
A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》
RangeLoss Pytorch This is a Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Trai
A self-hosted streaming platform with Discord authentication, auto-recording and more!
A self-hosted streaming platform with Discord authentication, auto-recording and more!
Fully undetected auto skillcheck hack for dead by daylight that works decently well
Auto-skillcheck was made by Love ❌ code ✅ ❔ ・How to use Start off by installing python ofc Open cmd in the same directory and type pip install -r requ
Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)
auto-self-checker 자동으로 자가진단 해주는 프로그램(python 필요) 중요 이 프로그램이 실행될때에는 절대로 마우스포인터를 움직이거나 키보드를 건드리면 안된다(화면인식, 마우스포인터로 직접 클릭) 사용법 프로그램을 구동할 폴더 내의 cmd창에서 pip
Getting Profit and Loss Make Easy From Binance
Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,
Type annotations builder for boto3 compatible with VSCode, PyCharm, Emacs, Sublime Text, pyright and mypy.
mypy_boto3_builder Type annotations builder for boto3-stubs project. Compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other too
This repos is auto action which generating a wordcloud made by Twitter.
auto_tweet_wordcloud This repos is auto action which generating a wordcloud made by Twitter. Preconditions Install Python dependencies pip install -r
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
(Preprint) Official PyTorch implementation of "How Do Vision Transformers Work?"
(Preprint) Official PyTorch implementation of "How Do Vision Transformers Work?"
A JSON-friendly data structure which allows both object attributes and dictionary keys and values to be used simultaneously and interchangeably.
A JSON-friendly data structure which allows both object attributes and dictionary keys and values to be used simultaneously and interchangeably.
Auto grind btdb2 exp for tower
Bloons TD Battles 2 EXP Grinder Auto grind btdb2 exp for towers Setup I suggest checking out every screenshot to see what they are supposed to be, so
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
Some 3Commas helper bots, AltRank, GalaxyScore, Watchlist, Auto-Compound
3Commas Cyber Bot Helpers A collection of 3Commas bot helpers I wrote. (collection will grow over time) Disclaimer THE SOFTWARE IS PROVIDED "AS IS", W
Create 3d loss surface visualizations, with optimizer path. Issues welcome!
MLVTK A loss surface visualization tool Simple feed-forward network trained on chess data, using elu activation and Adam optimizer Simple feed-forward
Auto Liker, Auto Reaction, Auto Comment, Auto Follower Tool. RajeLiker Credit Hacker.
Auto Liker, Auto Reaction, Auto Comment, Auto Follower Tool. RajeLiker Credit Hacker. Unlimited RajeLiker Credit Hack. Thanks To RajeLiker.
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
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma This is the offi
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and
local pypi server (custom packages and auto-mirroring of pypi)
localshop A PyPI server which automatically proxies and mirrors PyPI packages based upon packages requested. It has support for multiple indexes and t
A simple library that implements CLIP guided loss in PyTorch.
pytorch_clip_guided_loss: Pytorch implementation of the CLIP guided loss for Text-To-Image, Image-To-Image, or Image-To-Text generation. A simple libr
Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API
Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve
You will need to install a few python packages for this one.
Features Bait support Auto repair will repair every 10 catches Anti detection (still a work in progress) but using random times and click positions Pr
A auto clock-in script based on python3 for BJUTer.
Introduction A auto clock-in script based on python3 for BJUTer. It could clock in at 9:00 a.m everyday. The script is inspired by tsosunchia What can
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
This repository contains the similarity metrics designed and evaluated in the paper, and instructions and code to re-run the experiments. Implementation in the deep-learning framework PyTorch
Very Sempil Bot Auto Filter bot
SAMANTHA_BOT Very Sempil Bot Auto Filter bot ##[ # 𝐂𝐋𝐈𝐂𝐊 𝐁𝐄𝐋𝐎𝐖 𝐈𝐌𝐀𝐆𝐄 𝐓𝐎 𝐃𝐄𝐏𝐋𝐎𝐘 👇 👇 👇 Auto Filter Manuel Filter IMDB Admin Co
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Transfer Learning for Text Classification with Tensorflow Tensorflow implementation of Semi-supervised Sequence Learning(https://arxiv.org/abs/1511.01
FIVE, Vulnerability Scanner And Mass Exploiter, made for pentesting.
$ FIVE - FIVE is a Pentesting Framework to Test the Security & Integrity of a Website, or Multiple Websites. $ Info FIVE Was Made After Vulnnr to Prod
IMDb + Auto + Unlimited Filter BoT
Telegram Movie Bot Features Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Inline Search Random pics ids and User info Stat
Auto-ropper is a tool that aims to automate the exploitation of ROP.
Auto-ropper is a tool that aims to automate the exploitation of ROP. Its goal is to become a tool that no longer requires user interaction.
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss This repository contains the TensorFlow implementation of the paper UnF
ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T
Automatic Data-Regularized Actor-Critic (Auto-DrAC)
Auto-DrAC: Automatic Data-Regularized Actor-Critic This is a PyTorch implementation of the methods proposed in Automatic Data Augmentation for General
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️⚠️
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples This repository is the official implementation of "Tow
NeurIPS-2021: Neural Auto-Curricula in Two-Player Zero-Sum Games.
NAC Official PyTorch implementation of NAC from the paper: Neural Auto-Curricula in Two-Player Zero-Sum Games. We release code for: Gradient based ora
Focal Loss for Dense Rotation Object Detection
Convert ResNets weights from GluonCV to Tensorflow Abstract GluonCV released some new resnet pre-training weights and designed some new resnets (such
Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task
multi-task_losses_optimizer Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task 已经实验过了,不会有cuda out of memory情况 ##Par
Discord Auto bumper made in python, just a simple auto bumper that I made.
Discord Auto bumper made in python, just a simple auto bumper that I made.
Wechat based auto reply with pyautogui
Python-微信 自动回复 练手~ 一直想做个给微信发个消息,就可以跑Python程序,并将结果发送给我的东西,之前看了 B站@不高兴就喝水 的视频,终于有了灵感~ 使用的是模拟点击方案,请求期间是不能操作了。 库 pyautogui 用于模拟鼠标键盘操作和定位操作位置 pyperclip 剪贴板
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model This repository is the official PyTorch implementation of GraphRNN, a graph gene
This code can help you with auto update for-TV-advertisements in the store.
Auto-update-files-for-TV-advertisements-in-the-store This code can help you with auto update for-TV-advertisements in the store. It was write for Rasp
This is a code repository for the paper "Graph Auto-Encoders for Financial Clustering".
Repository for the paper "Graph Auto-Encoders for Financial Clustering" Requirements Python 3.6 torch torch_geometric Instructions This is a simple c
Program that automates the bump of the Disboard Bot. Done 100% in Python with PyAutoGUI library
Auto-Discord-Bump Program that automates the bump of the Disboard Bot done 100% in python with PyAutoGUI How to configue You will need 3 things before
An attempt to make a bot that can auto-archive Danganronpa KG RPs on Discord.
Danganronpa Killing Game Archiving Bot An attempt to make a bot that can auto-archive Danganronpa KG RPs on Discord. The final format is meant to look
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings.
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings. it also can assist the binary code analysis research in generating more diversified datasets for training and testing. The BinTuner framework is based on OpenTuner, thanks to all contributors for their contributions.
Qlib is an AI-oriented quantitative investment platform
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.
A python script for osu!lazer rulesets auto update.
osu-lazer-rulesets-autoupdater A python script for osu!lazer rulesets auto update. How to use: 如何使用: You can refer to the python script. The begining
An official implementation of "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation" (CVPR 2021) in PyTorch.
BANA This is the implementation of the paper "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation". For more inf
Unofficial implementation of Proxy Anchor Loss for Deep Metric Learning
Proxy Anchor Loss for Deep Metric Learning Unofficial pytorch, tensorflow and mxnet implementations of Proxy Anchor Loss for Deep Metric Learning. Not
Simple python program to auto credit your code, text, book, whatever!
Credit Simple python program to auto credit your code, text, book, whatever! Setup First change credit_text to whatever text you would like to credit
IMDb + Auto + Unlimited Filter BoT
Telegram Movie Bot Features Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Inline Search Random pics ids and User info Stat
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
KML: A Machine Learning Framework for Operating Systems & Storage Systems Storage systems and their OS components are designed to accommodate a wide v
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
MeTAL - Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning (ICCV2021 Oral) Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaes
Auto locust load test config and worker distribution with Docker and GitHub Action
Auto locust load test config and worker distribution with Docker and GitHub Action Install Fork the repo and change the visibility option to private S
Auto-Encoding Score Distribution Regression for Action Quality Assessment
DAE-AQA It is an open source program reference to paper Auto-Encoding Score Distribution Regression for Action Quality Assessment. 1.Introduction DAE
PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing
Saiency Map-aided GAN for RAW2RGB Mapping The PyTorch implementations and guideline for Saiency Map-aided GAN for RAW2RGB Mapping. 1 Implementations B
Implementation of the Chamfer Distance as a module for pyTorch
Chamfer Distance for pyTorch This is an implementation of the Chamfer Distance as a module for pyTorch. It is written as a custom C++/CUDA extension.
Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)
Complete-IoU Loss and Cluster-NMS for Improving Object Detection and Instance Segmentation. Our paper is accepted by IEEE Transactions on Cybernetics
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
livelossplot Don't train deep learning models blindfolded! Be impatient and look at each epoch of your training! (RECENT CHANGES, EXAMPLES IN COLAB, A
Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.
Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.
Final Fantasy XIV Auto House Clicker
Final Fantasy XIV Auto House Clicker
ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T
Official implementation for CVPR 2021 paper: Adaptive Class Suppression Loss for Long-Tail Object Detection
Adaptive Class Suppression Loss for Long-Tail Object Detection This repo is the official implementation for CVPR 2021 paper: Adaptive Class Suppressio
Confident Semantic Ranking Loss for Part Parsing
Confident Semantic Ranking Loss for Part Parsing
GUI Python Auto text bot.
Bagel Text Bot Auto text bot. Written in Python. Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what
Python package for visualizing the loss landscape of parameterized quantum algorithms.
orqviz A Python package for easily visualizing the loss landscape of Variational Quantum Algorithms by Zapata Computing Inc. orqviz provides a collect
Contrastive Feature Loss for Image Prediction
Contrastive Feature Loss for Image Prediction We provide a PyTorch implementation of our contrastive feature loss presented in: Contrastive Feature Lo
Simple Python Auto Follow Bot
Instagram-Auto-Follow-Bot Description Một IG BOT đơn giản. Tự động follow những người mà bạn muốn cướp follow. Tự động unfollow. Tự động đăng nhập vào
A demo of chinese asr
chinese_asr_demo 一个端到端的中文语音识别模型训练、测试框架 具备数据预处理、模型训练、解码、计算wer等等功能 训练数据 训练数据采用thchs_30,