350 Repositories
Python implicit-functions Libraries
Implicit neural differentiable FM synthesizer
Implicit neural differentiable FM synthesizer The purpose of this project is to emulate arbitrary sounds with FM synthesis, where the parameters of th
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Surfaces Official code release for NGLOD. For technical details, please refer t
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
Implicit Neural Representations with Periodic Activation Functions Project Page | Paper | Data Vincent Sitzmann*, Julien N. P. Martel*, Alexander W. B
Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.
PatchNets This is the official repository for the project "PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations". For details,
[ECCV'20] Convolutional Occupancy Networks
Convolutional Occupancy Networks Paper | Supplementary | Video | Teaser Video | Project Page | Blog Post This repository contains the implementation o
The code for paper "Learning Implicit Fields for Generative Shape Modeling".
implicit-decoder The tensorflow code for paper "Learning Implicit Fields for Generative Shape Modeling", Zhiqin Chen, Hao (Richard) Zhang. Project pag
Functions for easily making publication-quality figures with matplotlib.
Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You
build GUIs from python functions, using magic.
magicgui: build GUIs from functions, using magic. 📖 Docs Installation magicgui uses qtpy to support both pyside2 and pyqt5 backends. However, you mus
Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Prerequisite PyTorch = 1.2.0 Python3 torch
ICON: Implicit Clothed humans Obtained from Normals
ICON: Implicit Clothed humans Obtained from Normals arXiv, December 2021. Yuliang Xiu · Jinlong Yang · Dimitrios Tzionas · Michael J. Black Table of C
dualPC.R contains the R code for the main functions.
dualPC.R contains the R code for the main functions. dualPC_sim.R contains an example run with the different PC versions; it calls dualPC_algs.R whic
Code for "OctField: Hierarchical Implicit Functions for 3D Modeling (NeurIPS 2021)"
OctField(Jittor): Hierarchical Implicit Functions for 3D Modeling Introduction This repository is code release for OctField: Hierarchical Implicit Fun
Code release of paper Improving neural implicit surfaces geometry with patch warping
NeuralWarp: Improving neural implicit surfaces geometry with patch warping Project page | Paper Code release of paper Improving neural implicit surfac
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate
News 05/17/2021 To make the comparison on ZJU-MoCap easier, we save quantitative and qualitative results of other methods at here, including Neural Vo
DataShare - Simple library for data sharing between scripts and public functions calling
DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t
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
Python functions for summarizing and improving voice dictation input.
Helpmespeak Help me speak uses Python functions for summarizing and improving voice dictation input. Get started with OpenAI gpt-3 OpenAI is a amazing
SPEAR: Semi suPErvised dAta progRamming
Semi-Supervised Data Programming for Data Efficient Machine Learning SPEAR is a library for data programming with semi-supervision. The package implem
The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".
Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction This repo contains the data sets and source code of our paper: Aspect-Category-Opinion-S
Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download
A simple Monte Carlo simulation using Python and matplotlib library
Monte Carlo python simulation Install linux dependencies sudo apt update sudo apt install build-essential \ software-properties-commo
Persistent, stale-free, local and cross-machine caching for Python functions.
Persistent, stale-free, local and cross-machine caching for Python functions.
Python humanize functions
humanize This modest package contains various common humanization utilities, like turning a number into a fuzzy human-readable duration ("3 minutes ag
A(Sync) Interface for internal Audible API written in pure Python.
Audible Audible is a Python low-level interface to communicate with the non-publicly Audible API. It enables Python developers to create there own Aud
Code for ShadeGAN (NeurIPS2021) A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Project Page | Paper A Shading-Guided Generative Implicit Model
Code for the AAAI-2022 paper: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification (AAAI 2022) Prerequisite PyTorch = 1.2.0 P
Implementation of the paper ''Implicit Feature Refinement for Instance Segmentation''.
Implicit Feature Refinement for Instance Segmentation This repository is an official implementation of the ACM Multimedia 2021 paper Implicit Feature
A library which implements low-level functions that relate to packaging and distribution of Python
What is it? Distlib is a library which implements low-level functions that relate to packaging and distribution of Python software. It is intended to
Hexa is an advanced browser.It can carry out all the functions present in a browser.
Hexa is an advanced browser.It can carry out all the functions present in a browser.It is coded in the language Python using the modules PyQt5 and sys mainly.It is gonna get developed more in the future.It is made specially for the students.Only 1 tab can be used while using it so that the students cant missuse the pandemic situation :)
A Telegram Music Bot with proper functions written in Python with Pyrogram and Py-Tgcalls.
⭐️ Yukki Music Bot ⭐️ A Telegram Music Bot written in Python using Pyrogram and Py-Tgcalls Ready to use method A Support Group and ready-to-use runnin
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces (ICCV 2021)
3DIAS_Pytorch This repository contains the official code to reproduce the results from the paper: 3DIAS: 3D Shape Reconstruction with Implicit Algebra
Two factor authentication system using azure services and python language and its api's
FUTURE READY TALENT VIRTUAL INTERSHIP PROJECT PROJECT NAME - TWO FACTOR AUTHENTICATION SYSTEM Resources used: * Azure functions(python)
A set of utility functions for working with GeoJSON annotations in Kaibu
kaibu-utils A set of utility functions for working with Kaibu. Create a new repository Create a new repository and select imjoy-team/imjoy-python-temp
Functions to analyze Cell-ID single-cell cytometry data using python language.
PyCellID (building...) Functions to analyze Cell-ID single-cell cytometry data using python language. Dependecies for this project. attrs(=21.1.0) fo
Adaptive: parallel active learning of mathematical functions
adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu
A module filled with many useful functions and modules in various subjects.
Usefulpy Check out the Usefulpy site Usefulpy site is not always up to date Download and Import download and install with with pip download usefulpyth
This file will contain a series of Python functions that use the Selenium library to search for elements in a web page while logging everything into a file
element_search with Selenium (Now With docstrings 😎 ) Just to mention, I'm a beginner to all this, so it it's very possible to make some mistakes The
The functions we created are included in a script. The necessary parts for pre-processing were taken. Analysis complete.
Feature-Engineering The functions we created are included in a script. The necessary parts for pre-processing were taken. Analysis complete. Business
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models (DDIM) Jiaming Song, Chenlin Meng and Stefano Ermon, Stanford Implements sampling from an implicit model that is t
Code for EMNLP 2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training"
SCAPT-ABSA Code for EMNLP2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training" Overvie
Very useful and necessary functions that simplify working with data
Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp
Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
DeepCurrents | Webpage | Paper DeepCurrents: Learning Implicit Representations of Shapes with Boundaries David Palmer*, Dmitriy Smirnov*, Stephanie Wa
An Implicit Function Theorem (IFT) optimizer for bi-level optimizations
iftopt An Implicit Function Theorem (IFT) optimizer for bi-level optimizations. Requirements Python 3.7+ PyTorch 1.x Installation $ pip install git+ht
Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)
BayesOpt-LV Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV) About This repository contains the s
Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"
Implicit-Semantic-Response-Alignment Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation" Prerequisites pyt
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Optimized Einsum Optimized Einsum: A tensor contraction order optimizer Optimized einsum can significantly reduce the overall execution time of einsum
The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of the first few terms.
Blancmange-curve The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of th
Semi-supervised Implicit Scene Completion from Sparse LiDAR
Semi-supervised Implicit Scene Completion from Sparse LiDAR Paper Created by Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou and YA-QIN ZH
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Volume rendering + 3D implicit surface Showcase What? previous: surface rendering; now: volume rendering previous: NeRF's volume density; now: implici
Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).
PandasVault — Advanced Pandas Functions and Code Snippets The only Pandas utility package you would ever need. It has no exotic external dependencies
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and many other libraries. Documenta
Bottleneck a collection of fast, NaN-aware NumPy array functions written in C.
Bottleneck Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C. As one example, to check if a np.array has any NaNs using
Semi-supervised Implicit Scene Completion from Sparse LiDAR
Semi-supervised Implicit Scene Completion from Sparse LiDAR Paper Created by Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou and YA-QIN ZH
Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a
This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization News: [2020/05/04] Added EGL rendering option for training data g
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
A collection of utility functions to prototype geometry processing research in python
gpytoolbox This repo is a work in progress and contains general utility functions I have needed to code while trying to work on geometry process resea
Fast 1D and 2D histogram functions in Python
About Sometimes you just want to compute simple 1D or 2D histograms with regular bins. Fast. No nonsense. Numpy's histogram functions are versatile, a
A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning
pybullet-planning (previously ss-pybullet) A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and
A basic Ray Tracer that exploits numpy arrays and functions to work fast.
Python-Fast-Raytracer A basic Ray Tracer that exploits numpy arrays and functions to work fast. The code is written keeping as much readability as pos
An alternative app for core Armoury Crate functions.
NoROG DISCLAIMER: Use at your own risk. This is alpha-quality software. It has not been extensively tested, though I personally run it daily on my lap
Learning Modified Indicator Functions for Surface Reconstruction
Learning Modified Indicator Functions for Surface Reconstruction In this work, we propose a learning-based approach for implicit surface reconstructio
A* (with 2 heuristic functions), BFS , DFS and DFS iterativeA* (with 2 heuristic functions), BFS , DFS and DFS iterative
Descpritpion This project solves the Taquin game (jeu de taquin) problem using different algorithms : A* (with 2 heuristic functions), BFS , DFS and D
InvTorch: memory-efficient models with invertible functions
InvTorch: Memory-Efficient Invertible Functions This module extends the functionality of torch.utils.checkpoint.checkpoint to work with invertible fun
A Lite Package focuses on making overwrite and mending functions easier and more flexible.
Overwrite Make Overwrite More flexible In Python A Lite Package focuses on making overwrite and mending functions easier and more flexible. Certain Me
A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions
Overview This is a hobby project which includes a hand-gesture controlled virtual piano using an android phone camera and some OpenCV library. My moti
Pyfunctools is a module that provides functions, methods and classes that help in the creation of projects in python
Pyfunctools Pyfunctools is a module that provides functions, methods and classes that help in the creation of projects in python, bringing functional
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions Kapoutsis, A.C., Chatzichristofis,
A Python module for parallel optimization of expensive black-box functions
blackbox: A Python module for parallel optimization of expensive black-box functions What is this? A minimalistic and easy-to-use Python module that e
Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
isvd Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning If you find this code useful, you may cite us as: @inprocee
A simple and easy to use collection of random python functions.
A simple and easy to use collection of random python functions.
Dill_tils is a package that has my commonly used functions inside it for ease of use.
DilllonB07 Utilities Dill_tils is a package that has my commonly used functions inside it for ease of use. Installation Anyone can use this package by
Code and datasets for TPAMI 2021
SkeletonNet This repository constains the codes and ShapeNetV1-Surface-Skeleton,ShapNetV1-SkeletalVolume and 2d image datasets ShapeNetRendering. Plea
Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight
Implicit Constraint Q-Learning This is a pytorch implementation of ICQ on Datasets for Deep Data-Driven Reinforcement Learning (D4RL) and ICQ-MA on SM
Exploring basic lambda calculus in Python
Lambda Exploring basic lambda calculus in Python. In this repo I have used the lambda function built into python to get a more intiutive feel of lambd
A python package containing all the basic functions and classes for python. From simple addition to advanced file encryption.
A python package containing all the basic functions and classes for python. From simple addition to advanced file encryption.
Introduction to image processing, most used and popular functions of OpenCV
👀 OpenCV 101 Introduction to image processing, most used and popular functions of OpenCV go here.
Kanmail - An email client that functions like a kanban board, for Mac/Windows/Docker
Kanmail - An email client that functions like a kanban board, for Mac/Windows/Docker
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
Shape As Points (SAP) Paper | Project Page | Short Video (6 min) | Long Video (12 min) This repository contains the implementation of the paper: Shape
Official implementation of the Implicit Behavioral Cloning (IBC) algorithm
Implicit Behavioral Cloning This codebase contains the official implementation of the Implicit Behavioral Cloning (IBC) algorithm from our paper: Impl
Neural Scene Flow Prior (NeurIPS 2021 spotlight)
Neural Scene Flow Prior Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey Will appear on Thirty-fifth Conference on Neural Information Processing Syste
small package with utility functions for analyzing (fly) calcium imaging data
fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan
Python functions to run WASS stereo wave processing executables, and load and post process WASS output files.
wass-pyfuns Python functions to run the WASS stereo wave processing executables, and load and post process the WASS output files. General WASS (Waves
A library of functions that can be used to manage the download of claims from the LBRY network.
lbrytools A library of functions that can be used to manage the download of claims from the LBRY network. It includes methods to download claims by UR
Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions
EMS-COLS-recourse Initial Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions Folder structure: data folder contains raw an
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
GINC small-scale in-context learning dataset GINC (Generative In-Context learning Dataset) is a small-scale synthetic dataset for studying in-context
Implicit Deep Adaptive Design (iDAD)
Implicit Deep Adaptive Design (iDAD) This code supports the NeurIPS paper 'Implicit Deep Adaptive Design: Policy-Based Experimental Design without Lik
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback This is our Pytorch implementation for the paper: Yinwei Wei,
This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to the attack classes defined and curated malapi.io.
F2Amapper This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to
Implicit Model Specialization through DAG-based Decentralized Federated Learning
Federated Learning DAG Experiments This repository contains software artifacts to reproduce the experiments presented in the Middleware '21 paper "Imp
Python @deprecat decorator to deprecate old python classes, functions or methods.
deprecat Decorator Python @deprecat decorator to deprecate old python classes, functions or methods. Installation pip install deprecat Usage To use th
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
tf-imle Tensorflow 2 and PyTorch implementation and Jupyter notebooks for Implicit Maximum Likelihood Estimation (I-MLE) proposed in the NeurIPS 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
torch-imle Concise and self-contained PyTorch library implementing the I-MLE gradient estimator proposed in our NeurIPS 2021 paper Implicit MLE: Backp
Exchange indicators & Basic functions for Binance API.
binance-ema Exchange indicators & Basic functions for Binance API. This python library has been written to calculate SMA, EMA, MACD etc. functions wit
Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions
Aquarius Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions NOTE: We are currently going through the open-source process requir
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Figure: Shape-Accurate 3D-Aware Image Synthesis. A Shading-Guid
Python3 library for multimedia functions at the command terminal
TERMINEDIA This is a Python library allowing using a text-terminal as a low-resolution graphics output, along with keyboard realtime reading, and a co
A liblary whre you can find helpful functions for your discord bot
DBotUtils A liblary whre you can find helpful functions for your discord bot Easy setup Setup is easily and flexible. Change anytime. After setup just
The sequel to SquidNet. It has many of the previous features that were in the original script, however a lot of the functions that do not serve much functionality have been removed.
SquidNet2 The sequel to SquidNet. It has many of the previous features that were in the original script, however a lot of the functions that do not se
Gradient representations in ReLU networks as similarity functions
Gradient representations in ReLU networks as similarity functions by Dániel Rácz and Bálint Daróczy. This repo contains the python code related to our