278 Repositories
Python proxy-anchor-loss Libraries
This Binance trading bot detects new coins as soon as they are listed on the Binance exchange and automatically places sell and buy orders. It comes with trailing stop loss and other features. If you like this project please consider donating via Brave.
binance-trading-bot-new-coins This Binance trading bot detects new coins as soon as they are listed on the Binance exchange and automatically places s
Exploring Classification Equilibrium in Long-Tailed Object Detection, ICCV2021
Exploring Classification Equilibrium in Long-Tailed Object Detection (LOCE, ICCV 2021) Paper Introduction The conventional detectors tend to make imba
Code for ICCV 2021 paper: ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators..
ARAPReg Code for ICCV 2021 paper: ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators.. Installation The cod
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to a certain level of spatial misalignment in predictions between the two tasks.
KIRI - Keyboard Interception, Remapping, and Injection using Raspberry Pi as an HID Proxy.
KIRI - Keyboard Interception, Remapping and Injection using Raspberry Pi as a HID Proxy. Near limitless abilities for a keyboard warrior. Features Sim
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Code release for The Devil is in the Channels: Mutual-Channel
Implementation of "Selection via Proxy: Efficient Data Selection for Deep Learning" from ICLR 2020.
Selection via Proxy: Efficient Data Selection for Deep Learning This repository contains a refactored implementation of "Selection via Proxy: Efficien
Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation)
Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation) Download Synthia dataset The model uses
A tiny, friendly, strong baseline code for Person-reID (based on pytorch).
Pytorch ReID Strong, Small, Friendly A tiny, friendly, strong baseline code for Person-reID (based on pytorch). Strong. It is consistent with the new
Official PyTorch Implementation of Rank & Sort Loss [ICCV2021]
Rank & Sort Loss for Object Detection and Instance Segmentation The official implementation of Rank & Sort Loss. Our implementation is based on mmdete
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.
Introduction YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and ind
Code for visualizing the loss landscape of neural nets
Visualizing the Loss Landscape of Neural Nets This repository contains the PyTorch code for the paper Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer
A Python library to utilize AWS API Gateway's large IP pool as a proxy to generate pseudo-infinite IPs for web scraping and brute forcing.
A Python library to utilize AWS API Gateway's large IP pool as a proxy to generate pseudo-infinite IPs for web scraping and brute forcing.
A high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, NCNN, and Openvino supported.
YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. For more details, please refer to our report on Arxiv.
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
S2-BNN (Self-supervised Binary Neural Networks Using Distillation Loss) This is the official pytorch implementation of our paper: "S2-BNN: Bridging th
a script to bulk check usernames on multiple site. includes proxy & threading support.
linked-bulk-checker bulk checks username availability on multiple sites info people have been selling these so i just made one to release dm my discor
Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.
The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification.
PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
2021-CVPR-MvCLN This repo contains the code and data of the following paper accepted by CVPR 2021 Partially View-aligned Representation Learning with
clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
README clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation CVPR 2021 Authors: Suprosanna Shit and Johannes C. Paetzo
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Soft DTW Loss Function for PyTorch in CUDA This is a Pytorch Implementation of Soft-DTW: a Differentiable Loss Function for Time-Series which is batch
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
NoW Evaluation This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard e
Best discord webhook spammer using proxy (support all proxy type)
Best discord webhook spammer using proxy (support all proxy type)
Fast and configurable script to get and check free HTTP, SOCKS4 and SOCKS5 proxy lists from different sources and save them to files
Fast and configurable script to get and check free HTTP, SOCKS4 and SOCKS5 proxy lists from different sources and save them to files. It can also get geolocation for each proxy and check if proxies are anonymous.
The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection.
The Equalization Losses for Long-tailed Object Detection and Instance Segmentation This repo is official implementation CVPR 2021 paper: Equalization
Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic
A Pancakeswap and Uniswap trading client (and bot) with limit orders, marker orders, stop-loss, custom gas strategies, a GUI and much more.
Pancakeswap and Uniswap trading client Adam A A Pancakeswap and Uniswap trading client (and bot) with market orders, limit orders, stop-loss, custom g
Anchor Protocol Script that can save you from being liquidated!
Why My day job requires a fairly good amount of automation from time to time. Besides, I do like computers to work on what I cannot while I'm sleeping
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware-Minimization-TensorFlow This repository provides a minimal implementation of sharpness-aware minimization (SAM) (Sharpness-Aware Minim
Registration Loss Learning for Deep Probabilistic Point Set Registration
RLLReg This repository contains a Pytorch implementation of the point set registration method RLLReg. Details about the method can be found in the 3DV
An end-to-end machine learning library to directly optimize AUC loss
LibAUC An end-to-end machine learning library for AUC optimization. Why LibAUC? Deep AUC Maximization (DAM) is a paradigm for learning a deep neural n
Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"
AFSD: Learning Salient Boundary Feature for Anchor-free Temporal Action Localization This is an official implementation in PyTorch of AFSD. Our paper
Cobalt Strike C2 Reverse proxy that fends off Blue Teams, AVs, EDRs, scanners through packet inspection and malleable profile correlation
Cobalt Strike C2 Reverse proxy that fends off Blue Teams, AVs, EDRs, scanners through packet inspection and malleable profile correlation
Python port of proxy-www (https://github.com/justjavac/proxy-www)
proxy-www.py Python port of proxy-www (https://github.com/justjavac/proxy-www). Implemented additional functionalities! How to install pip install pro
Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"
AFSD: Learning Salient Boundary Feature for Anchor-free Temporal Action Localization This is an official implementation in PyTorch of AFSD. Our paper
A Pancakeswap v2 trading client (and bot) with limit orders, stop-loss, custom gas strategies, a GUI and much more.
Pancakeswap v2 trading client A Pancakeswap trading client (and bot) with limit orders, stop-loss, custom gas strategies, a GUI and much more. If you
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
Auto-Seg-Loss By Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai This is the official implementation of the ICLR 2021 paper Auto
Location-Sensitive Visual Recognition with Cross-IOU Loss
The trained models are temporarily unavailable, but you can train the code using reasonable computational resource. Location-Sensitive Visual Recognit
Create a netflix-like service using Django, React.js, & More.
Create a netflix-like service using Django. Learn advanced Django techniques to achieve amazing results like never before.
CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"
Spatially-Correlative Loss arXiv | website We provide the Pytorch implementation of "The Spatially-Correlative Loss for Various Image Translation Task
Multi-scale discriminator feature-wise loss function
Multi-Scale Discriminative Feature Loss This repository provides code for Multi-Scale Discriminative Feature (MDF) loss for image reconstruction algor
A little proxy tool based on Tencent Cloud Function Service.
SCFProxy 一个基于腾讯云函数服务的免费代理池。 安装 python3 -m venv .venv source .venv/bin/activate pip3 install -r requirements.txt 项目配置 函数配置 开通腾讯云函数服务 在 函数服务 新建 中使用自定义
Tools for use in DeFi. Impermanent Loss calculations, staking and farming strategies, coingecko and pancakeswap API queries, liquidity pools and more
DeFi open source tools Get Started Instalation General Tools Impermanent Loss, simple calculation Compare Buy & Hold with Staking and Farming Complete
An unofficial implementation of the paper "AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss".
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss This is an unofficial implementation of AutoVC based on the official one. The reposi
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
Dice Loss for NLP Tasks This repository contains code for Dice Loss for Data-imbalanced NLP Tasks at ACL2020. Setup Install Package Dependencies The c
The fastest nuker on discord, Proxy support and more
About okuru nuker is a nuker for discord written in python, It uses methods such as threading and requests to ban faster and perform at higher speeds.
A collection of loss functions for medical image segmentation
A collection of loss functions for medical image segmentation
Official implementation of "Dynamic Anchor Learning for Arbitrary-Oriented Object Detection" (AAAI2021).
DAL This project hosts the official implementation for our AAAI 2021 paper: Dynamic Anchor Learning for Arbitrary-Oriented Object Detection [arxiv] [c
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
SimplePose Code and pre-trained models for our paper, “Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation”, a
sshuttle: where transparent proxy meets VPN meets ssh
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
List of ngrok alternatives and other ngrok-like tunneling software and services. Focus on self-hosting.
List of ngrok alternatives and other ngrok-like tunneling software and services. Focus on self-hosting.
a safe proxy over tls
TlsProxys 基于TLS协议的http流量代理 安装 ※ 需要python3.7+ linux: python3.9 -m pip install TlsProxys windows: pip install TlsProxys 基本用法 服务器端: $ tpserver [command]
PyTorch extensions for fast R&D prototyping and Kaggle farming
Pytorch-toolbelt A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming: What
git《Investigating Loss Functions for Extreme Super-Resolution》(CVPR 2020) GitHub:
Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon
CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.
CDIoU-CDIoUloss CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent p
Code for CVPR 2021 paper: Anchor-Free Person Search
Introduction This is the implementationn for Anchor-Free Person Search in CVPR2021 License This project is released under the Apache 2.0 license. Inst
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
CRNN_Tensorflow This is a TensorFlow implementation of a Deep Neural Network for scene text recognition. It is mainly based on the paper "An End-to-En
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
Overview This collection demonstrates how to construct and train a deep, bidirectional stacked LSTM using CNN features as input with CTC loss to perfo
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Handwritten Line Text Recognition using Deep Learning with Tensorflow Description Use Convolutional Recurrent Neural Network to recognize the Handwrit
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
TTNet-Pytorch The implementation for the paper "TTNet: Real-time temporal and spatial video analysis of table tennis" An introduction of the project c
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
sshuttle: where transparent proxy meets VPN meets ssh As far as I know, sshuttle is the only program that solves the following common case: Your clien
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
mitmproxy mitmproxy is an interactive, SSL/TLS-capable intercepting proxy with a console interface for HTTP/1, HTTP/2, and WebSockets. mitmdump is the
Dogs classification with Deep Metric Learning using some popular losses
Tsinghua Dogs classification with Deep Metric Learning 1. Introduction Tsinghua Dogs dataset Tsinghua Dogs is a fine-grained classification dataset fo
Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection This project provides an implementation for "LLA: Loss-aware Label Assignment for Dens
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising By Tengfei Liang, Yi Jin, Yidong Li, Tao Wang. Th
Let Python optimize the best stop loss and take profits for your TradingView strategy.
TradingView Machine Learning TradeView is a free and open source Trading View bot written in Python. It is designed to support all major exchanges. It
Code for "High-Precision Model-Agnostic Explanations" paper
Anchor This repository has code for the paper High-Precision Model-Agnostic Explanations. An anchor explanation is a rule that sufficiently “anchors”
Official code for paper "Optimization for Oriented Object Detection via Representation Invariance Loss".
Optimization for Oriented Object Detection via Representation Invariance Loss By Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Xue Yang, and Yunpeng Dong. Th
🍯 16 honeypots in a single pypi package (DNS, HTTP Proxy, HTTP, HTTPS, SSH, POP3, IMAP, STMP, VNC, SMB, SOCKS5, Redis, TELNET, Postgres & MySQL)
Easy to setup customizable honeypots for monitoring network traffic, bots activities and username\password credentials. The current available honeypot
Compare the contents of your hosted and proxy repositories for coordinate collisions
Nexus Repository Manager dependency/namespace confusion checker This repository contains a script to check if you have artifacts containing the same n
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models
Turn any OpenAPI2/3 and Postman Collection file into an API server with mocking, transformations and validations.
Prism is a set of packages for API mocking and contract testing with OpenAPI v2 (formerly known as Swagger) and OpenAPI v3.x. Mock Servers: Life-like
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
mitmproxy mitmproxy is an interactive, SSL/TLS-capable intercepting proxy with a console interface for HTTP/1, HTTP/2, and WebSockets. mitmdump is the
Arbitrium is a cross-platform, fully undetectable remote access trojan, to control Android, Windows and Linux and doesn't require any firewall exceptions or port forwarding rules
About: Arbitrium is a cross-platform is a remote access trojan (RAT), Fully UnDetectable (FUD), It allows you to control Android, Windows and Linux an
Websockify is a WebSocket to TCP proxy/bridge. This allows a browser to connect to any application/server/service. Implementations in Python, C, Node.js and Ruby.
websockify: WebSockets support for any application/server websockify was formerly named wsproxy and was part of the noVNC project. At the most basic l
Proxy server that records responses for UI testing (and other things)
Welcome to playback-proxy 👋 A proxy tool that records communication (requests, websockets) between client and server. This recording can later be use
Create animations for the optimization trajectory of neural nets
Animating the Optimization Trajectory of Neural Nets loss-landscape-anim lets you create animated optimization path in a 2D slice of the loss landscap
Serverless proxy for Spark cluster
Hydrosphere Mist Hydrosphere Mist is a serverless proxy for Spark cluster. Mist provides a new functional programming framework and deployment model f