2277 Repositories
Python Model-Compression-Research-Package Libraries
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning
Blankly - 🚀 💸 Trade stocks, cryptos, and forex w/ one package. Easily build, backtest, trade, and deploy across exchanges in a few lines of code.
💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B
Speech-Emotion-Analyzer - The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have
KoBERT - Korean BERT pre-trained cased (KoBERT)
KoBERT KoBERT Korean BERT pre-trained cased (KoBERT) Why'?' Training Environment Requirements How to install How to use Using with PyTorch Using with
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Spin-off Notice: the modules and functions used by our research notebooks have been refactored into another repository
Fecon235 - Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Captcha-tensorflow - Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Captcha Solving Using TensorFlow Introduction Solve captcha using TensorFlow. Learn CNN and TensorFlow by a practical project. Follow the steps, run t
Modified prey-predator system - Modified prey–predator model describes the rate of change for each species by adding coupling terms.
Modified prey-predator system We aim to study the behaviors of the modified prey–predator model and establish the effects of several parameters that p
Linescanning - Package for (pre)processing of anatomical and (linescanning) fMRI data
line scanning repository This repository contains all of the tools used during the acquisition and postprocessing of line scanning data at the Spinoza
AWBW Replay Parser - a Python package to open and step through AWBW game replays.
AWBW Replay Parser This repository is home to the AWBW Replay Parser, a Python package to open and step through AWBW game replays. This project is una
Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.
Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks
Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.
Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.
Price-Prediction-For-a-Dream-Home - A machine learning based linear regression trained model for house price prediction.
Price-Prediction-For-a-Dream-Home ROADMAP TO THIS LINEAR REGRESSION BASED HOUSE PRICE PREDICTION PREDICTION MODEL Import all the dependencies of the p
Iris-Heroku - Putting a Machine Learning Model into Production with Flask and Heroku
Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L
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
View model summaries in PyTorch!
torchinfo (formerly torch-summary) Torchinfo provides information complementary to what is provided by print(your_model) in PyTorch, similar to Tensor
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
Lightning-Hydra-Template A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥 Click on Use this template to initialize new re
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode
🌀 Pykka makes it easier to build concurrent applications.
🌀 Pykka Pykka makes it easier to build concurrent applications. Pykka is a Python implementation of the actor model. The actor model introduces some
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
LABES This is the code for EMNLP 2020 paper "A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised L
Neural network sequence labeling model
Sequence labeler This is a neural network sequence labeling system. Given a sequence of tokens, it will learn to assign labels to each token. Can be u
PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our paper
Flow Gaussian Mixture Model (FlowGMM) This repository contains a PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our pa
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model Baris Gecer 1, Binod Bhattarai 1
Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Learning with Nonignorable Nonresponses‘
Graph-based joint model with Nonignorable Missingness (GNM) This is a Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Lear
Aerospace utilities: flight conditions package, standard atmosphere model, and more.
Aerospace Utilities About Module that contains commonly-used aerospace utilities for problem solving. Flight Condition: input altitude to compute comm
This is a small package to interact with the OpenLigaDB API.
OpenLigaDB This is a small package to interact with the OpenLigaDB API. Installation Run the following to install: pip install openligadb Usage from o
In this project, two programs can help you take full agvantage of time on the model training with a remote server
In this project, two programs can help you take full agvantage of time on the model training with a remote server, which can push notification to your phone about the information during model training, like the model indices and unexpected interrupts. Then you can do something in time for your work.
A curated list of awesome Model-Based RL resources
Awesome Model-Based Reinforcement Learning This is a collection of research papers for model-based reinforcement learning (mbrl). And the repository w
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage
Bianace Prediction Pytorch Model
Bianace Prediction Pytorch Model Main Results ETHUSDT from 2021-01-01 00:00:00 t
Model synchronization from dbt to Metabase.
dbt-metabase Model synchronization from dbt to Metabase. If dbt is your source of truth for database schemas and you use Metabase as your analytics to
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.
How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t
A module to get data about anime characters, news, info, lyrics and more.
Animec A module to get data about anime characters, news, info, lyrics and more. The module scrapes myanimelist to parse requested data. If you wish t
Plotting and analysis tools for ARTIS simulations
Artistools Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code. Installation First
An open source Python package for plasma science that is under development
PlasmaPy PlasmaPy is an open source, community-developed Python 3.7+ package for plasma science. PlasmaPy intends to be for plasma science what Astrop
A Python reference implementation of the CF data model
cfdm A Python reference implementation of the CF data model. References Compliance with FAIR principles Documentation https://ncas-cms.github.io/cfdm
Scientific measurement library for instruments, experiments, and live-plotting
PyMeasure scientific package PyMeasure makes scientific measurements easy to set up and run. The package contains a repository of instrument classes a
GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.
GDSHelpers GDSHelpers in an open-source package for automatized pattern generation for nano-structuring. It allows exporting the pattern in the GDSII-
Simple, configuration-driven backup software for servers and workstations
title permalink borgmatic index.html It's your data. Keep it that way. borgmatic is simple, configuration-driven backup software for servers and works
A Python Package for Convex Regression and Frontier Estimation
pyStoNED pyStoNED is a Python package that provides functions for estimating multivariate convex regression, convex quantile regression, convex expect
A simple model based API maker written in Python and based on Django and Django REST Framework
Fast DRF Fast DRF is a small library for making API faster with Django and Django REST Framework. It's easy and configurable. Full Documentation here
ReplAPI.it A Simple and Complete Replit API Package
Notice: Currently this project is just a framework. It does not work yet. If you want to get updated when 1.0.0 is released, then click Watch - Custo
A simple package for handling variables in string.
A simple package for handling string variables. Welcome! This is a simple package for handling variables in string, You can add or remove variables wi
nfelo: a power ranking, prediction, and betting model for the NFL
nfelo nfelo is a power ranking, prediction, and betting model for the NFL. Nfelo take's 538's Elo framework and further adapts it for the NFL, hence t
This wrapper now has async support, its basically the same except it uses asyncio
This is a python wrapper for my api api_url = "https://api.dhravya.me/" This wrapper now has async support, its basically the same except it uses asyn
Source code of AAAI 2022 paper "Towards End-to-End Image Compression and Analysis with Transformers".
Towards End-to-End Image Compression and Analysis with Transformers Source code of our AAAI 2022 paper "Towards End-to-End Image Compression and Analy
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
SAFA: Structure Aware Face Animation (3DV2021) Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation. Getting Started
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer axriv: http://arxiv.org/abs/2112.13513
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis This is the official page of the MSHT with its experimental script and records. We de
Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Autoregressive Predictive Coding This repository contains the official implementation (in PyTorch) of Autoregressive Predictive Coding (APC) proposed
A Python package designed to help users of Cisco's FMC interface with its API.
FMCAPI was originally developed by Dax Mickelson ([email protected]). Dax has moved on to other projects but has kindly transferred the ownership of
A modular dynamical-systems model of Ethereum's validator economics.
CADLabs Ethereum Economic Model A modular dynamical-systems model of Ethereum's validator economics, based on the open-source Python library radCAD, a
Unofficial TensorFlow implementation of the Keyword Spotting Transformer model
Keyword Spotting Transformer This is the unofficial TensorFlow implementation of the Keyword Spotting Transformer model. This model is used to train o
⚙️ Compile, Read and update your .conf file in python
⚙️ Compile, Read and update your .conf file in python
MeerKAT radio telescope simulation package. Built to simulate multibeam antenna data.
MeerKATgen MeerKAT radio telescope simulation package. Designed with performance in mind and utilizes Just in time compile (JIT) and XLA backed vectro
Python package to display video in GUI using OpenCV-Python and PySide6
Python package to display video in GUI using OpenCV-Python and PySide6. Introduction cv2PySide6 is a package which provides utility classes and functi
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
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
TM1py is a Python package that wraps the TM1 REST API in a simple to use library.
By wrapping the IBM Planning Analytics (TM1) REST API in a concise Python framework, TM1py facilitates Python developments for TM1. Interacting with T
A deep learning model for style-specific music generation.
DeepJ: A model for style-specific music generation https://arxiv.org/abs/1801.00887 Abstract Recent advances in deep neural networks have enabled algo
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
Isaac ROS Visual Odometry This repository provides a ROS2 package that estimates stereo visual inertial odometry using the Isaac Elbrus GPU-accelerate
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
Body Model Visualizer Introduction This is a simple Open3D-based GUI for SMPL-family body models. This GUI lets you play with the shape, expression, a
OpenMMLab Model Deployment Toolset
Introduction English | 简体中文 MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Major features F
MMdet2-based reposity about lightweight detection model: Nanodet, PicoDet.
Lightweight-Detection-and-KD MMdet2-based reposity about lightweight detection model: Nanodet, PicoDet. This repo also includes detection knowledge di
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l
Automatic meme generation model using Tensorflow Keras.
Memefly You can find the project at MemeflyAI. Contributors Nick Buukhalter Harsh Desai Han Lee Project Overview Trello Board Product Canvas Automatic
A minimalistic example of preparing a model for (synchronous) inference in production.
A minimalistic example of preparing a model for (synchronous) inference in production.
Bot to connect a real Telegram user, simulating responses with OpenAI's davinci GPT-3 model.
AI-BOT Bot to connect a real Telegram user, simulating responses with OpenAI's davinci GPT-3 model.
This app displays interesting statistical weather records and trends which can be used in climate related research including study of global warming.
This app displays interesting statistical weather records and trends which can be used in climate related research including study of global warming.
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
Body Model Visualizer Introduction This is a simple Open3D-based GUI for SMPL-family body models. This GUI lets you play with the shape, expression, a
EmoTag helps you train emotion detection model for Chinese audios
emoTag emoTag helps you train emotion detection model for Chinese audios. Environment pip install -r requirement.txt Data We used Emotional Speech Dat
Utilize Korean BERT model in sentence-transformers library
ko-sentence-transformers 이 프로젝트는 KoBERT 모델을 sentence-transformers 에서 보다 쉽게 사용하기 위해 만들어졌습니다. Ko-Sentence-BERT-SKTBERT 프로젝트에서는 KoBERT 모델을 sentence-trans
Data Model built using Logistic Regression Algorithm on Python.
Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo
Part of Speech Tagging using Hidden Markov Model (HMM) POS Tagger and Brill Tagger
Part of Speech Tagging using Hidden Markov Model (HMM) POS Tagger and Brill Tagger In this project, our aim is to tune, compare, and contrast the perf
Implementation of the final project of the course DDA6309 Probabilistic Graphical Model
Task-aware Joint CWS and POS (TCwsPos) This is the implementation of the final project of the course DDA6309 Probabilistic Graphical Models, The Chine
The plottify package is makes matplotlib plots more legible
plottify The plottify package is makes matplotlib plots more legible. It's a thin wrapper around matplotlib that automatically adjusts font sizes, sca
A Python package to request and process seismic waveform data from Hi-net.
HinetPy is a Python package to simplify tedious data request, download and format conversion tasks related to NIED Hi-net. NIED Hi-net | Source Code |
🍋 A Python package to process food
Pyfood is a simple Python package to process food, in different languages. Pyfood's ambition is to be the go-to library to deal with food, recipes, on
*ObjDetApp* deploys a pytorch model for object detection
*ObjDetApp* deploys a pytorch model for object detection
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020)
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020) Hong Wang, Qi Xie, Qian Zhao, and Deyu Meng [PDF] [Supplementary M
Python package to transfer data in a fast, reliable, and packetized form.
pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.
PREFS is a Python library to store and manage preferences and settings.
PREFS PREFS is a Python library to store and manage preferences and settings. PREFS stores a Python dictionary in a total human-readable file, the PRE
Python package for analyzing behavioral data for Brain Observatory: Visual Behavior
Allen Institute Visual Behavior Analysis package This repository contains code for analyzing behavioral data from the Allen Brain Observatory: Visual
A software manager for easy development and distribution of Python code
Piper A software manager for easy development and distribution of Python code. The main features that Piper adds to Python are: Support for large-scal
A Python package to create, run, and post-process MODFLOW-based models.
Version 3.3.5 — release candidate Introduction FloPy includes support for MODFLOW 6, MODFLOW-2005, MODFLOW-NWT, MODFLOW-USG, and MODFLOW-2000. Other s
A python package that computes an optimal motion plan for approaching a red light
redlight_approach redlight_approach is a Python package that computes an optimal motion plan during traffic light approach. RLA_demo.mov Given the par
Google Search Results via SERP API pip Python Package
Google Search Results in Python This Python package is meant to scrape and parse search results from Google, Bing, Baidu, Yandex, Yahoo, Home depot, E
Probably the best abstract model / admin for your tree based stuff.
django-treenode Probably the best abstract model / admin for your tree based stuff. Features Fast - get ancestors, children, descendants, parent, root
Neptune client library - integrate your Python scripts with Neptune
Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha
Python Actor concurrency library
Thespian Actor Library This library provides the framework of an Actor model for use by applications implementing Actors. Thespian Site with Documenta
A news curator and newsletter subscription package for Django
django-newsfeed What is django-newsfeed? django-newsfeed is a news curator and newsletter subscription package for django. It can be used to create a
An open-source systems and controls toolbox for Python3
harold A control systems package for Python=3.6. Introduction This package is written with the ambition of providing a full-fledged control systems s
Python package to add text to images, textures and different backgrounds
nider Python package for text images generation and watermarking Free software: MIT license Documentation: https://nider.readthedocs.io. nider is an a
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
💡Python package for HTTP/1.1 style headers. Parse headers to objects. Most advanced available structure for http headers.
HTTP Headers, the Complete Toolkit 🧰 Object-oriented headers. Kind of structured headers. ❓ Why No matter if you are currently dealing with code usin
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
A research into mail services used by different business sectors.
A research into mail services used by different business sectors. Data, scripts and results available.
Pearpy - a Python package for writing multithreaded code and parallelizing tasks across CPU threads.
Pearpy The Python package for (pear)allelizing your tasks across multiple CPU threads. Installation The latest version of Pearpy can be installed with
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
SEOVER-Master This code is the implementation of paper: SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
AAAI 2022 paper - Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
AT-BMC Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction (AAAI 2022) Paper Prerequisites Install pac
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation.
Continuous Wasserstein-2 Benchmark This is the official Python implementation of the NeurIPS 2021 paper Do Neural Optimal Transport Solvers Work? A Co