375 Repositories
Python long-short-term-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
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes
A short course on Julia and open-source software development
Advanced Scientific Computing: producing better code This course is taught as a 6-session "nanocourse" at Washington University in St. Louis. See the
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
Codes for "Efficient Long-Range Attention Network for Image Super-resolution"
ELAN Codes for "Efficient Long-Range Attention Network for Image Super-resolution", arxiv link. Dependencies & Installation Please refer to the follow
IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different python spaces including web development, machine learning, game development, data structures and algorithms, and substantially more! We are creating an open source repository on Python along with all its applications!
WIE-WoC IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different pyth
Persian Bert For Long-Range Sequences
ParsBigBird: Persian Bert For Long-Range Sequences The Bert and ParsBert algorithms can handle texts with token lengths of up to 512, however, many ta
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform This repo try to implement iSTFTNet : Fast
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
Code for the Findings of NAACL 2022(Long Paper): AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks arXiv link: upcoming To be published in Findings of NA
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
Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.
Session-aware BERT4Rec Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 shor
Snakemake worflow to process and filter long read data from Oxford Nanopore Technologies.
Nanopore-Workflow Snakemake workflow to process and filter long read data from Oxford Nanopore Technologies. It is designed to compare whole human gen
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks We provide the code (in PyTorch) and datasets for our paper "On Size-Orient
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
The code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Long-term Action Assessment".
Likert Scoring with Grade Decoupling for Long-term Action Assessment This is the code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Lon
Multi-resolution SeqMatch based long-term Place Recognition
MRS-SLAM for long-term place recognition In this work, we imply an multi-resolution sambling based visual place recognition method. This work is based
Episodic-memory - Ego4D Episodic Memory Benchmark
Ego4D Episodic Memory Benchmark EGO4D is the world's largest egocentric (first p
CVE-2022-22536 - SAP memory pipes(MPI) desynchronization vulnerability CVE-2022-22536
CVE-2022-22536 SAP memory pipes desynchronization vulnerability(MPI) CVE-2022-22
MicroStealer - A compact Discord Token Logger/Discord Token Grabber made in only 15 lines of code! Injects into discord for long-term use
💾 MicroStealer ⚡ A compact Discord Token Logger/Discord Token Grabber made in o
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
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
Simple game where you try to survive as long as you can on screen.
Survival Game Simple game where you try to survive as long as you can on screen. Play To run, download the code and run the survival_game.py file. Fro
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
Find Transposon Element insertions using long reads (nanopore), by alignment directly. (minimap2)
find_te_ins find_te_ins is designed to find Transposon Element (TE) insertions using long reads (nanopore), by alignment directly. (minimap2) Install
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
Pytorch implementation of TailCalibX : Feature Generation for Long-tail Classification
TailCalibX : Feature Generation for Long-tail Classification by Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi [arXiv] [
Tracks how much money a profile has in their bank and graphs it, as long as they enable the bank api
Tracks how much money a profile has in their bank and graphs it, as long as they enable the bank api. (you could really use this to track anything from the hypixel api)
🔗 FusiShort is a URL shortener built with Python, Redis, Docker and Kubernetes
This is a playground application created with goal of applying full cycle software development using popular technologies like Python, Redis, Docker and Kubernetes.
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
Spectral decomposition for characterizing long-range interaction profiles in Hi-C maps
Inspectral Spectral decomposition for characterizing long-range interaction prof
Image processing is one of the most common term in computer vision
Image processing is one of the most common term in computer vision. Computer vision is the process by which computers can understand images and videos, and how they are stored, manipulated, and retrieve details from them. OpenCV is an open source computer vision image processing library for machine learning, deep leaning and AI application which plays a major role in real-time operation which is very important in today’s systems.
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
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
E2EDNA2 - An automated pipeline for simulation of DNA aptamers complexed with small molecules and short peptides
E2EDNA2 - An automated pipeline for simulation of DNA aptamers complexed with small molecules and short peptides
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
A Django web application that shortens long URLs. This is a demo project to show off my tech abilities.
Django URL Shortener This project is just a complete and production-ready URL shortener web application to show off my tech and coding abilities. Impo
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
ShadowClone allows you to distribute your long running tasks dynamically across thousands of serverless functions and gives you the results within seconds where it would have taken hours to complete
ShadowClone allows you to distribute your long running tasks dynamically across thousands of serverless functions and gives you the results within seconds where it would have taken hours to complete
Chess turnament organizer (short construct concept)
Turnament Organizer Chess turnament organizer (short construct concept). It is my hobby app I want to write to support lightweight tool for smart roun
Blackstone is a spaCy model and library for processing long-form, unstructured legal text
Blackstone Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project f
WARP+ uses Cloudflare’s virtual private backbone, known as Argo, to achieve higher speeds and ensure your connection is encrypted across the long haul of the Internet
WARP+ uses Cloudflare’s virtual private backbone, known as Argo, to achieve higher speeds and ensure your connection is encrypted across the long haul of the Internet
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
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
Continual Learning of Long Topic Sequences in Neural Information Retrieval
ContinualPassageRanking Repository for the paper "Continual Learning of Long Topic Sequences in Neural Information Retrieval". In this repository you
Long text token classification using LongFormer
Long text token classification using LongFormer
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-
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Simple implementation of Equivariant GNN A short implementation of E(n) Equivariant Graph Neural Networks for HOMO energy prediction. Just 50 lines of
This repository introduces a short project about Transfer Learning for Classification of MRI Images.
Transfer Learning for MRI Images Classification This repository introduces a short project made during my stay at Neuromatch Summer School 2021. This
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
👄 The most accurate natural language detection library for Python, suitable for long and short text alike
1. What does this library do? Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a prepr
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition Usage First, install PyTorch 1.7.1+, torchvision 0.8.2
Localization and multifractal properties of the long-range Kitaev chain in the presence of an Aubry-André-Harper modulation
This repository contains the code for the paper Localization and multifractal properties of the long-range Kitaev chain in the presence of an Aubry-André-Harper modulation.
The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Action Transformer A Self-Attention Model for Short-Time Human Action Recognition This repository contains the official TensorFlow implementation of t
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks arXiv preprint: https://arxiv.org/abs/2201.02143. Architec
The official code of "SCROLLS: Standardized CompaRison Over Long Language Sequences".
SCROLLS This repository contains the official code of the paper: "SCROLLS: Standardized CompaRison Over Long Language Sequences". Links Official Websi
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
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
100 pandas puzzles Puzzles notebook Solutions notebook Inspired by 100 Numpy exerises, here are 100* short puzzles for testing your knowledge of panda
Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."
DialogLM Code for AAAI 2022 paper: DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. Pre-trained Models We release two ve
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
Code for paper [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot] (ICCV 2021, oral))
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot This repository is the official PyTorch implementation of ICCV-21 pape
An alternative to OpenFaaS nats-queue-worker for long-running functions
OpenFaas Job Worker OpenFaas Job Worker is a fork of project : OSCAR Worker - https://github.com/grycap/oscar-worker Thanks to Sebástian Risco @srisco
Supporting code for short YouTube series Neural Networks Demystified.
Neural Networks Demystified Supporting iPython notebooks for the YouTube Series Neural Networks Demystified. I've included formulas, code, and the tex
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
This repo includes the supplementary of our paper "CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels"
Supplementary Materials for CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels This repository includes all supplementary mater
Obmovies - A short guide on setting up the system and environment dependencies required for ob's Movies database
Obmovies - A short guide on setting up the system and environment dependencies required for ob's Movies database
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
Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies
Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies. We have amassed a dataset of millions of rows of high-frequency market data dating back to 2018 which you can use to build your model.
This is a short GUI project to evaluate Pbk solution.
Polubarinova-Kochina-solutions (Standalone GUI executables for Windows and Mac) Oden Institute for Computational Engineering and Sciences / Jackson Sc
Churn-Prediction-Project - In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class.
Churn-Prediction-Project In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class. Project in
IP Rover - An Excellent OSINT tool to get information of any ip address
IP Rover - An Excellent OSINT tool to get information of any ip address. All details are explained in below screenshot
UNIX time from NTP or short UtfN is a simple CLI tool to set the time from an NTP-Server.
UNIX ⌚ from NTP UNIX time from NTP or short UtfN is a simple CLI tool to set the time from an NTP-Server. Sets time and date using the date command pr
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.
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
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible
IMBENS: Class-imbalanced Ensemble Learning in Python Language: English | Chinese/中文 Links: Documentation | Gallery | PyPI | Changelog | Source | Downl
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
A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems
Label-Propagation-with-Augmented-Anchors (A2LP) Official codes of the ECCV2020 spotlight (label propagation with augmented anchors: a simple semi-supe
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
Short piece of code to create a rainbow gif of gradual contours from two shapefiles
rainbow-elevation-gif Short piece of code to create a rainbow gif of gradual con
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
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
Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
[AAAI22] Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification We point out the overlooked unbiasedness in long-tailed clas
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.
r.sim.terrain A short-term landscape evolution model that simulates topographic change for both steady state and dynamic flow regimes across a range o
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 (+
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Peter Norvig MIT License 2015-2020 pytudes "An étude (a French word meaning study) is an instrumental musical composition, usually short, of considera
PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.
ALiBi PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. Quickstart Clone this reposit
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd
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
wxPython app for converting encodings, modifying and fixing SRT files
Subtitle Converter Program za obradu srt i txt fajlova. Requirements: Python version 3.8 wxPython version 4.1.0 or newer Libraries: srt, PyDispatcher