329 Repositories
Python out-of-memory Libraries
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
Memorizing Transformers - Pytorch Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memori
Code for CVPR 2022 paper "Bailando: 3D dance generation via Actor-Critic GPT with Choreographic Memory"
Bailando Code for CVPR 2022 (oral) paper "Bailando: 3D dance generation via Actor-Critic GPT with Choreographic Memory" [Paper] | [Project Page] | [Vi
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022)
Pop-Out Motion Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022) Jihyun Lee*, Minhyuk Sung*, Hyunjin Kim, Tae-Ky
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
English | 简体中文 Easy Parallel Library Overview Easy Parallel Library (EPL) is a general and efficient library for distributed model training. Usability
Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.
KB-NER: a Knowledge-based System for Multilingual Complex Named Entity Recognition The code is for the winner system (DAMO-NLP) of SemEval 2022 MultiC
N3RP (the NFT Rental Protocol) allows users to trustlessly rent out their ERC721-based assets.
N3RP • N3RP - An NFT Rental Protocol (pronounced "nerp") Smart Contracts Passing Tests, Frontend Functional But Is Being Beautified. 🛠 Introduction T
ACL22 paper: Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost LOVE is accpeted by ACL22 main conference as a long pape
#whois it? Let's find out!
whois_bot #whois it? Let's find out! Currently in development: a gatekeeper bot for a community (https://t.me/IT_antalya) of 250+ expat IT pros of Ant
Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution
FMEN Lowest memory consumption and second shortest runtime in NTIRE 2022 on Efficient Super-Resolution. Our paper: Fast and Memory-Efficient Network T
Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
🦩 Flamingo - Pytorch Implementation of Flamingo, state-of-the-art few-shot visual question answering attention net, in Pytorch. It will include the p
Implementation of MeMOT - Multi-Object Tracking with Memory - in Pytorch
MeMOT - Pytorch (wip) Implementation of MeMOT - Multi-Object Tracking with Memory - in Pytorch. This paper is just one in a line of work, but importan
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
RODD Official Implementation of 2022 CVPRW Paper RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Introduction: Recent studie
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
Memory Efficient Attention Pytorch Implementation of a memory efficient multi-head attention as proposed in the paper, Self-attention Does Not Need O(
K2HASH Python library - NoSQL Key Value Store(KVS) library
k2hash_python Overview k2hash_python is an official python driver for k2hash. Install Firstly you must install the k2hash shared library: curl -o- htt
Episodic-memory - Ego4D Episodic Memory Benchmark
Ego4D Episodic Memory Benchmark EGO4D is the world's largest egocentric (first p
Visyerres sgdf woob - Modules Woob pour l'intranet et autres sites Scouts et Guides de France
Vis'Yerres SGDF - Modules Woob Vous avez le sentiment que l'intranet des Scouts
CVE-2022-22536 - SAP memory pipes(MPI) desynchronization vulnerability CVE-2022-22536
CVE-2022-22536 SAP memory pipes desynchronization vulnerability(MPI) CVE-2022-22
Pykeeb - A small Python script that prints out currently connected keyboards
pykeeb 🐍 ⌨️ A small Python script that detects and prints out currently connect
A simple tool that lets you know when you are out of Lost Ark's queues
Overview A simple tool that lets you know when you are out of Lost Ark's queues. You can be notified via: Sound: the app will play a sound Discord web
Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder
Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder Authors: - Eashan Adhikarla - Dan Luo - Dr. Brian D. Davison Abstract Many
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
[ICLR'21] DARTS-: Robustly Stepping out of Performance Collapse Without Indicators [openreview] Authors: Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun
Project aims to map out common user behavior on the computer
User-Behavior-Mapping-Tool Project aims to map out common user behavior on the computer. Most of the code is based on the research by kacos2000 found
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption
⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor
Color getter (including method to get random color or complementary color) made out of Python
python-color-getter Color getter (including method to get random color or complementary color) made out of Python Setup pip3 install git+https://githu
FewBit — a library for memory efficient training of large neural networks
FewBit FewBit — a library for memory efficient training of large neural networks. Its efficiency originates from storage optimizations applied to back
This speeds up PyCharm's package index processes and avoids CPU & memory overloading
This speeds up PyCharm's package index processes and avoids CPU & memory overloading
IPE is a simple tool for analyzing IP addresses. With IPE you can find out the server region, city, country, longitude and latitude and much more in seconds.
IPE is a simple tool for analyzing IP addresses. With IPE you can find out the server region, city, country, longitude and latitude and much more in seconds.
script to calculate total GPA out of 4, based on input gpa.csv
gpa_calculator script to calculate total GPA out of 4 based on input gpa.csv to use, create a total.csv file containing only one integer showing the t
A project to find out all the words in a crossword.
A project to find out all the words in a crossword.
This is a model made out of Neural Network specifically a Convolutional Neural Network model
This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternative libraries that can be used for this purpose, one of which is the PyTorch library.
Odd-Or-Even - Ask the user for a number. Depending on whether the number is even or odd, print out an appropriate message to the user
Odd-Or-Even Ask the user for a number. Depending on whether the number is even o
Python Script to generate posters out of the images in directory.
Poster-Maker Python Script to generate posters out of the images in directory. This version is very basic ligthweight code to combine organize images
An python script to convert images to upscaled versions made out of one-colour emojis.
ABOUT This is an python script to convert png, jpg and gif(output isnt animated :( ) images to scaled versions made out of one-colour emojis. Please n
A Python toolbox to churn out organic alkalinity calculations with minimal brain engagement.
Organic Alkalinity Sausage Machine A Python toolbox to churn out organic alkalinity calculations with minimal brain engagement. Getting started To mak
Decorators for maximizing memory utilization with PyTorch & CUDA
torch-max-mem This package provides decorators for memory utilization maximization with PyTorch and CUDA by starting with a maximum parameter size and
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
Out of Distribution Detection on Natural Adversarial Examples
OOD-on-NAE Research project on out of distribution detection for the Computer Vision course by Prof. Rob Fergus (CSCI-GA 2271) Paper out on arXiv - ht
Check out the StyleGAN repo and place it in the same directory hierarchy as the present repo
Variational Model Inversion Attacks Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani Most commands are in run_scripts. W
Rip Raw - a small tool to analyse the memory of compromised Linux systems
Rip Raw Rip Raw is a small tool to analyse the memory of compromised Linux systems. It is similar in purpose to Bulk Extractor, but particularly focus
This tool is created by Shahzain and is one of the best self bots out there!
Shahzain SelfBot This tool is created by Shahzain and is one of the best self bots out there! Features Token Destroyer! Server Nuker(50-100 Bans Per S
The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory
Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of
On Out-of-distribution Detection with Energy-based Models
On Out-of-distribution Detection with Energy-based Models This repository contains the code for the experiments conducted in the paper On Out-of-distr
Adversarial vulnerability of powerful near out-of-distribution detection
Adversarial vulnerability of powerful near out-of-distribution detection by Stanislav Fort In this repository we're collecting replications for the ke
PcapConverter - A project for generating 15min frames out of a .pcap file containing network traffic
CMB Assignment 02 code + notebooks This is a project for containing code for the
Given some input, spit out the possible words for a Wordle puzzle
Wordle Helper, because why not. Given some input, spit out the possible words for a Wordle puzzle First time setup # Download the dictionary to a file
Generating Radiology Reports via Memory-driven Transformer
R2Gen This is the implementation of Generating Radiology Reports via Memory-driven Transformer at EMNLP-2020. Citations If you use or extend our work,
PyTorchMemTracer - Depict GPU memory footprint during DNN training of PyTorch
A Memory Tracer For PyTorch OOM is a nightmare for PyTorch users. However, most
This project generates news headlines using a Long Short-Term Memory (LSTM) neural network.
News Headlines Generator bunnysaini/Generate-Headlines Goal This project aims to generate news headlines using a Long Short-Term Memory (LSTM) neural
WebScraper - A script that prints out a list of all EXTERNAL references in the HTML response to an HTTP/S request
Project A: WebScraper A script that prints out a list of all EXTERNAL references
This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!
Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use
Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection
Exploring the Limits of Out-of-Distribution Detection In this repository we're collecting replications for the key experiments in the Exploring the Li
Visual Python and C++ nanosecond profiler, logger, tests enabler
Look into Palanteer and get an omniscient view of your program Palanteer is a set of lean and efficient tools to improve the quality of software, for
This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
OODformer: Out-Of-Distribution Detection Transformer This repo is the official the implementation of the OODformer: Out-Of-Distribution Detection Tran
Holographic Declarative Memory for Python ACT-R
HDM This is the repository for the Holographic Declarative Memory (HDM) module for Python ACT-R. This repository contains: documentation: a paper, con
Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"
Memory Compressed Attention Implementation of the Self-Attention layer of the proposed Memory-Compressed Attention, in Pytorch. This repository offers
The accompanying code for the paper "GMAT: Global Memory Augmentation for Transformers" (Ankit Gupta and Jonathan Berant).
GMAT: Global Memory Augmentation for Transformers This repository contains the accompanying code for the paper: "GMAT: Global Memory Augmentation for
Implementation of Memformer, a Memory-augmented Transformer, in Pytorch
Memformer - Pytorch Implementation of Memformer, a Memory-augmented Transformer, in Pytorch. It includes memory slots, which are updated with attentio
GLNet for Memory-Efficient Segmentation of Ultra-High Resolution Images
GLNet for Memory-Efficient Segmentation of Ultra-High Resolution Images Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-
Drf-stripe-subscription - An out-of-box Django REST framework solution for payment and subscription management using Stripe
Drf-stripe-subscription - An out-of-box Django REST framework solution for payment and subscription management using Stripe
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
This repository provides the official code for replicating experiments from the paper: Semi-Supervised Semantic Segmentation with Pixel-Level Contrast
This is the source code for generating the ASL-Skeleton3D and ASL-Phono datasets. Check out the README.md for more details.
ASL-Skeleton3D and ASL-Phono Datasets Generator The ASL-Skeleton3D contains a representation based on mapping into the three-dimensional space the coo
A wrapper around ffmpeg to make it work in a concurrent and memory-buffered fashion.
Media Fixer Have you ever had a film or TV show that your TV wasn't able to play its audio? Well this program is for you. Media Fixer is a program whi
In this repository you will find the test carried out to enter, as a python developer, the company Keeper Solutions.
Bookmarks In this repository you will find the test carried out to enter, as a python developer, the company Keeper Solutions. First it is necessary t
An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour
Gordo Building thousands of models with timeseries data to monitor systems. Table of content About Examples Install Uninstall Developer manual How to
Sign Language Recognition service utilizing a deep learning model with Long Short-Term Memory to perform sign language recognition.
Sign Language Recognition Service This is a Sign Language Recognition service utilizing a deep learning model with Long Short-Term Memory to perform s
Import Python modules from dicts and JSON formatted documents.
Paker Paker is module for importing Python packages/modules from dictionaries and JSON formatted documents. It was inspired by httpimporter. Important
Module for remote in-memory Python package/module loading through HTTP/S
httpimport Python's missing feature! The feature has been suggested in Python Mailing List Remote, in-memory Python package/module importing through H
Track player's stats, find out when they're online and grinding!
Hypixel Stats Tracker Track player's stats, find out when they're online and playing games! INFO Showcase Server: https://discord.gg/yY5qQHPar6 Suppor
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
Scalene: a high-performance CPU, GPU and memory profiler for Python by Emery Berger, Sam Stern, and Juan Altmayer Pizzorno. Scalene community Slack Ab
THERE IS AN IMPOSTER AMONG US. VOTE HIM OUT BEFORE HE [ R E D A C T E D ].
🛡️ Guardian There is an impostor among us. Can you help us find out who it is? ⚙️ Installation and Usage Make sure to install Tesseract-OCR before ru
👨🏼💻 A customizable man-in-the-middle TCP proxy with out-of-the-box support for HTTP & HTTPS.
👨💻 mitm A customizable man-in-the-middle TCP proxy with out-of-the-box support for HTTP & HTTPS. Installing pip install mitm Note that OpenSSL 1.1
Lua-parser-lark - An out-of-box Lua parser written in Lark
An out-of-box Lua parser written in Lark Such parser handles a relaxed version o
Pixoo-Awesome is a tool to get more out of your Pixoo Devices.
Pixoo-Awesome is a tool to get more out of your Pixoo Devices. It uses the Pixoo-Client to connect to your Pixoo devices and send data to them. I targ
Meshed-Memory Transformer for Image Captioning. CVPR 2020
M²: Meshed-Memory Transformer This repository contains the reference code for the paper Meshed-Memory Transformer for Image Captioning (CVPR 2020). Pl
PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning PyTorch code for our ACL 2020 paper "MART: Memory-Augmented Recur
Orbivator AI - To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.
Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can
Predictive Maintenance LSTM
Predictive-Maintenance-LSTM - Predictive maintenance study for Complex case study, we've obtained failure causes by operational error and more deeply by design mistakes.
Generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv
basic-dataset-generator-from-image-of-numbers generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv inpu
Python function to construct an ODS spreadsheet on the fly - without having to store the entire file in memory or disk
stream-write-ods Python function to construct an ODS (OpenDocument Spreadsheet) on the fly - without having to store the entire file in memory or disk
Memory efficient transducer loss computation
Introduction This project implements the optimization techniques proposed in Improving RNN Transducer Modeling for End-to-End Speech Recognition to re
Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.
opt-einsum-torch There have been many implementations of Einstein's summation. numpy's numpy.einsum is the least efficient one as it only runs in sing
Input an antlr grammar and file for python to test it out
py-antlr-input Input an ANTLR grammar and test file for python to render a parser tree of the file. This program will make use of the grun command tha
Python function to construct a ZIP archive with on the fly - without having to store the entire ZIP in memory or disk
Python function to construct a ZIP archive with on the fly - without having to store the entire ZIP in memory or disk
Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation
OoD_Gen-Chest_Xray Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation Requirements (Installations) Install the following libra
Robust, highly tunable and easy-to-integrate in-memory cache solution written in pure Python, with no dependencies.
Omoide Cache Caching doesn't need to be hard anymore. With just a few lines of code Omoide Cache will instantly bring your Python services to the next
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
Memory-Efficient Multi-Level In-Situ Generation (MLG) By Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen and David Z. Pan
Attention for PyTorch with Linear Memory Footprint
Attention for PyTorch with Linear Memory Footprint Unofficially implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention (+
Out-of-box Python RPC framework
typed-jsonrpc Out-of-box Python RPC framework. WIP. Make LSP easy for everyone. The conception of final usage: from typed_jsonrpc import * ls = Langu
This script allows you to retrieve all functions / variables names of a Python code, and the variables values.
Memory Extractor This script allows you to retrieve all functions / variables names of a Python code, and the variables values. How to use it ? The si
A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory"
memory_efficient_attention.pytorch A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory" (Rabe&Staats'21). def effic
A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations.
parse_it A python library for parsing multiple types of config files, envvars and command line arguments that takes the headache out of setting app co
Some out-of-the-box hooks for pre-commit
pre-commit-hooks Some out-of-the-box hooks for pre-commit. See also: https://github.com/pre-commit/pre-commit Using pre-commit-hooks with pre-commit A
Python Implementation of Scalable In-Memory Updatable Bitmap Indexing
PyUpBit CS490 Large Scale Data Analytics — Implementation of Updatable Compressed Bitmap Indexing Paper Table of Contents About The Project Usage Cont
Simple embedded in memory json database
dbj dbj is a simple embedded in memory json database. It is easy to use, fast and has a simple query language. The code is fully documented, tested an
RestMapper takes the pain out of integrating with RESTful APIs.
python-restmapper RestMapper takes the pain out of integrating with RESTful APIs. It removes all of the complexity with writing API-specific code, and
A low-impact profiler to figure out how much memory each task in Dask is using
dask-memusage If you're using Dask with tasks that use a lot of memory, RAM is your bottleneck for parallelism. That means you want to know how much m
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
A library that allows you to easily mock out tests based on AWS infrastructure.
Moto - Mock AWS Services Install $ pip install moto[ec2,s3,all] In a nutshell Moto is a library that allows your tests to easily mock out AWS Services
Memory game in Python
Concentration - Memory Game Concentration is a memory game written in Python, inspired by memory-game. Description As stated in the introduction of th