377 Repositories
Python type-inference Libraries
Stubs with type annotations for ordered-set Python library
ordered-set-stubs - stubs with type annotations for ordered-set Python library Archived - now type annotations are the part of the ordered-set library
Apache (Py)Spark type annotations (stub files).
PySpark Stubs A collection of the Apache Spark stub files. These files were generated by stubgen and manually edited to include accurate type hints. T
🧙 A simple, typed and monad-based Result type for Python.
meiga 🧙 A simple, typed and monad-based Result type for Python. Table of Contents Installation 💻 Getting Started 📈 Example Features Result Function
Rust like Option and Result types in Python
Option Rust-like Option and Result types in Python, slotted and fully typed. An Option type represents an optional value, every Option is either Some
Fully typesafe, Rust-like Result and Option types for Python
safetywrap Fully typesafe, Rust-inspired wrapper types for Python values Summary This library provides two main wrappers: Result and Option. These typ
Modified fork of CPython's ast module that parses `# type:` comments
Typed AST typed_ast is a Python 3 package that provides a Python 2.7 and Python 3 parser similar to the standard ast library. Unlike ast up to Python
Flake8 Type Annotation Checking
flake8-annotations flake8-annotations is a plugin for Flake8 that detects the absence of PEP 3107-style function annotations and PEP 484-style type co
A plugin for Flake8 that provides specializations for type hinting stub files
flake8-pyi A plugin for Flake8 that provides specializations for type hinting stub files, especially interesting for linting typeshed. Functionality A
Flake8 plugin for managing type-checking imports & forward references
flake8-type-checking Lets you know which imports to put in type-checking blocks. For the imports you've already defined inside type-checking blocks, i
Flake8 plugin for managing type-checking imports & forward references
flake8-type-checking Lets you know which imports to put in type-checking blocks. For the imports you've already defined inside type-checking blocks, i
pytest plugin to test mypy static type analysis
pytest-mypy-testing — Plugin to test mypy output with pytest pytest-mypy-testing provides a pytest plugin to test that mypy produces a given output. A
Runtime inspection utilities for Python typing module
Typing Inspect The typing_inspect module defines experimental API for runtime inspection of types defined in the Python standard typing module. Works
A system for Python that generates static type annotations by collecting runtime types
MonkeyType MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or even add draft type
Type4Py: Deep Similarity Learning-Based Type Inference for Python
Type4Py: Deep Similarity Learning-Based Type Inference for Python This repository contains the implementation of Type4Py and instructions for re-produ
Code for "Typilus: Neural Type Hints" PLDI 2020
Typilus A deep learning algorithm for predicting types in Python. Please find a preprint here. This repository contains its implementation (src/) and
A GitHub action that suggests type annotations for Python using machine learning.
Typilus: Suggest Python Type Annotations A GitHub action that suggests type annotations for Python using machine learning. This action makes suggestio
mypy plugin to type check Kubernetes resources
kubernetes-typed mypy plugin to dynamically define types for Kubernetes objects. Features Type checking for Custom Resources Type checking forkubernet
A simple plugin that allows running mypy from PyCharm and navigate between errors
mypy-PyCharm-plugin The plugin provides a simple terminal to run fast mypy daemon from PyCharm with a single click or hotkey and easily navigate throu
That Hash will name that hash type! Identify MD5, SHA256 and 300+ other hashes Comes with
Call for translators! We're looking for translators to help translate this spec for everyone! Read this documentation in the following languages 한국어 中
Adaptation through prediction: multisensory active inference torque control
Adaptation through prediction: multisensory active inference torque control Submitted to IEEE Transactions on Cognitive and Developmental Systems Abst
A minimal code for fairseq vq-wav2vec model inference.
vq-wav2vec inference A minimal code for fairseq vq-wav2vec model inference. Runs without installing the fairseq toolkit and its dependencies. Usage ex
PyTorch implementation of normalizing flow models
PyTorch implementation of normalizing flow models
A high-performance immutable mapping type for Python.
immutables An immutable mapping type for Python. The underlying datastructure is a Hash Array Mapped Trie (HAMT) used in Clojure, Scala, Haskell, and
Vim plugin for executing Python's optional static type checker MyPy
Vim plugin for executing Python's optional static type checker MyPy
Hardware-accelerated DNN model inference ROS2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU
Isaac ROS DNN Inference Overview This repository provides two NVIDIA GPU-accelerated ROS2 nodes that perform deep learning inference using custom mode
This is a bot that can type without any assistance and have incredible speed.
BulldozerType This is a bot that can type without any assistance and have incredible speed. This bot currently only works on the site https://onlinety
Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.
Introduction 1. Usage (For MSS) 1.1 Prepare running environment 1.2 Use pretrained model 1.3 Train new MSS models from scratch 1.3.1 How to train 1.3.
Validation and inference over LinkML instance data using souffle
Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022
PyCRE Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022 Dependencies This project is developed
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici
Randomisation-based inference in Python based on data resampling and permutation.
Randomisation-based inference in Python based on data resampling and permutation.
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici
A Model for Natural Language Attack on Text Classification and Inference
TextFooler A Model for Natural Language Attack on Text Classification and Inference This is the source code for the paper: Jin, Di, et al. "Is BERT Re
Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
Patience-based Early Exit Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit". NEWS: We now have a better and tidier i
Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time".
FastBERT Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time". Good News 2021/10/29 - Code: Code of FastPLM is released on
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
DeeBERT This is the code base for the paper DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. Code in this repository is also available
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
Pattern-Exploiting Training (PET) This repository contains the code for Exploiting Cloze Questions for Few-Shot Text Classification and Natural Langua
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Website • Docs • Twitter • Join Slack Community What is Label Studio? Label Studio is an open source data labeling tool. It lets you label data types
Bayesian inference for Permuton-induced Chinese Restaurant Process (NeurIPS2021).
Permuton-induced Chinese Restaurant Process Note: Currently only the Matlab version is available, but a Python version will be available soon! This is
High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.
Anakin2.0 Welcome to the Anakin GitHub. Anakin is a cross-platform, high-performance inference engine, which is originally developed by Baidu engineer
Real-time VIBE: Frame by Frame Inference of VIBE (Video Inference for Human Body Pose and Shape Estimation)
Real-time VIBE Inference VIBE frame-by-frame. Overview This is a frame-by-frame inference fork of VIBE at [https://github.com/mkocabas/VIBE]. Usage: i
Simple python3 implementation of microKanren with lots of type annotations for clarity
MicroKanren-py This is (yet another) python implementation of microKanren. It's a reasonably 1:1 translation of the code provided in the paper, but ev
Low-code/No-code approach for deep learning inference on devices
EzEdgeAI A concept project that uses a low-code/no-code approach to implement deep learning inference on devices. It provides a componentized framewor
Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".
Variational Gibbs inference (VGI) This repository contains the research code for Simkus, V., Rhodes, B., Gutmann, M. U., 2021. Variational Gibbs infer
Python package to read and display segregated file names present in a directory based on type of the file
tpyfilestructure Python package to read and display segregated file names present in a directory based on type of the file. Installation You can insta
An index of algorithms for learning causality with data
awesome-causality-algorithms An index of algorithms for learning causality with data. Please cite our survey paper if this index is helpful. @article{
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Intel(R) Extension for Scikit-learn* Installation | Documentation | Examples | Support | FAQ With Intel(R) Extension for Scikit-learn you can accelera
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
AdderNet: Do We Really Need Multiplications in Deep Learning? This code is a demo of CVPR 2020 paper AdderNet: Do We Really Need Multiplications in De
PointPillars inference with TensorRT
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
Self-Supervised Document-to-Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
Self-Supervised Document Similarity Ranking (SDR) via Contextualized Language Models and Hierarchical Inference This repo is the implementation for SD
Delve is a Python package for analyzing the inference dynamics of your PyTorch model.
Delve is a Python package for analyzing the inference dynamics of your PyTorch model.
A collection of inference modules for fastai2
fastinference A collection of inference modules for fastai including inference speedup and interpretability Install pip install fastinference There ar
A Python package for causal inference using Synthetic Controls
Synthetic Control Methods A Python package for causal inference using synthetic controls This Python package implements a class of approaches to estim
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
Python-for-Epidemiologists This repository is an introduction to epidemiology analyses in Python. Additionally, the tutorials for my library zEpid are
Generalized Random Forests
generalized random forests A pluggable package for forest-based statistical estimation and inference. GRF currently provides non-parametric methods fo
zeus is a Python implementation of the Ensemble Slice Sampling method.
zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl
Topic Inference with Zeroshot models
zeroshot_topics Table of Contents Installation Usage License Installation zeroshot_topics is distributed on PyPI as a universal wheel and is available
This is a a CSMA/CA simulator written in Python based on simulator of the same type
This is a a CSMA/CA simulator written in Python based on simulator of the same type found the link https://github.com/StevenSLXie/CSMA-Simulator with
Source code for our paper "Do Not Trust Prediction Scores for Membership Inference Attacks"
Do Not Trust Prediction Scores for Membership Inference Attacks Abstract: Membership inference attacks (MIAs) aim to determine whether a specific samp
Code for "Universal inference meets random projections: a scalable test for log-concavity"
How to use this repository This repository contains code to replicate the results of "Universal inference meets random projections: a scalable test fo
Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks
ML Privacy Meter Machine learning is playing a central role in automated decision making in a wide range of organization and service providers. The da
Code for paper "Context-self contrastive pretraining for crop type semantic segmentation"
Code for paper "Context-self contrastive pretraining for crop type semantic segmentation" Setting up a python environment Follow the instruction in ht
Adversarially Learned Inference
Adversarially Learned Inference Code for the Adversarially Learned Inference paper. Compiling the paper locally From the repo's root directory, $ cd p
Extract rooms type, door, neibour rooms, rooms corners nad bounding boxes, and generate graph from rplan dataset
Housegan-data-reader House-GAN++ (data-reader) Code and instructions for converting rplan dataset (raster images) to housegan++ data format. House-GAN
Lightweight Python library for adding real-time object tracking to any detector.
Norfair is a customizable lightweight Python library for real-time 2D object tracking. Using Norfair, you can add tracking capabilities to any detecto
Ladder Variational Autoencoders (LVAE) in PyTorch
Ladder Variational Autoencoders (LVAE) PyTorch implementation of Ladder Variational Autoencoders (LVAE) [1]: where the variational distributions q at
Hummingbird compiles trained ML models into tensor computation for faster inference.
Hummingbird Introduction Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to se
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
nli2paraphrases Source code repository accompanying the preprint Extracting and filtering paraphrases by bridging natural language inference and parap
Python package for causal inference using Bayesian structural time-series models.
Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI
A Python package for modular causal inference analysis and model evaluations
Causal Inference 360 A Python package for inferring causal effects from observational data. Description Causal inference analysis enables estimating t
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices.
PyTorch-LIT PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With
Advanced Variable Manager {AVM} [0.8.0]
Advanced Variable Manager {AVM} [0.8.0] By Grosse pastèque#6705 WARNING : This modules need some typing modifications ! If you try to run it without t
Angle data is a simple data type.
angledat Angle data is a simple data type. Installing + using Put angledat.py in the main dir of your project. Import it and use. Comments Comments st
A Python training and inference implementation of Yolov5 helmet detection in Jetson Xavier nx and Jetson nano
yolov5-helmet-detection-python A Python implementation of Yolov5 to detect head or helmet in the wild in Jetson Xavier nx and Jetson nano. In Jetson X
HyperBlend is a new type of hyperspectral image simulator based on Blender.
HyperBlend version 0.1.0 This is the HyperBlend leaf spectra simulator developed in Spectral Laboratory of University of Jyväskylä. You can use and mo
Official implementation of "Membership Inference Attacks Against Self-supervised Speech Models"
Introduction Official implementation of "Membership Inference Attacks Against Self-supervised Speech Models". In this work, we demonstrate that existi
v objective diffusion inference code for JAX.
v-diffusion-jax v objective diffusion inference code for JAX, by Katherine Crowson (@RiversHaveWings) and Chainbreakers AI (@jd_pressman). The models
Repo for Photon-Starved Scene Inference using Single Photon Cameras, ICCV 2021
Photon-Starved Scene Inference using Single Photon Cameras ICCV 2021 Arxiv Project Video Bhavya Goyal, Mohit Gupta University of Wisconsin-Madison Abs
LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae
Package Description The difficulties in acquiring spectroscopic data have been a major challenge for supernova surveys. snlstm is developed to provide
Inference pipeline for our participation in the FeTA challenge 2021.
feta-inference Inference pipeline for our participation in the FeTA challenge 2021. Team name: TRABIT Installation Download the two folders in https:/
Web framework based on type hint。
Hint API 中文 | English 基于 Type hint 的 Web 框架 hintapi 文档 hintapi 实现了 WSGI 接口,并使用 Radix Tree 进行路由查找。是最快的 Python web 框架之一。一切特性都服务于快速开发高性能的 Web 服务。 大量正确的类型
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
A modular, research-friendly framework for high-performance and inference of sequence models at many scales
T5X T5X is a modular, composable, research-friendly framework for high-performance, configurable, self-service training, evaluation, and inference of
Spert NLP Relation Extraction API deployed with torchserve for inference
SpERT torchserve Spert_torchserve is the Relation Extraction model (SpERT)Span-based Entity and Relation Transformer API deployed with pytorch/serve.
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.
Bayes-Newton Bayes-Newton is a library for approximate inference in Gaussian processes (GPs) in JAX (with objax), built and actively maintained by Wil
This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.
Dugh-NeurIPS-2021 This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroi
Monocular 3D pose estimation. OpenVINO. CPU inference or iGPU (OpenCL) inference.
human-pose-estimation-3d-python-cpp RealSenseD435 (RGB) 480x640 + CPU Corei9 45 FPS (Depth is not used) 1. Run 1-1. RealSenseD435 (RGB) 480x640 + CPU
Proxy scraper. Format: IP | PORT | COUNTRY | TYPE
proxy scraper 🔎 Installation: git clone https://github.com/ebankoff/proxy_scraper Required pip libraries (pip install library name): lxml beautifulso
Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
Discovering Non-monotonic Autoregressive Orderings with Variational Inference Description This package contains the source code implementation of the
A CLI tool that scans through a directory and organizes all loose files into folders by file type.
Organizer CLI Organizer CLI is a python command line tool that goes through a given directory and organizes all un-folder bound files into folders by
IndoNLI: A Natural Language Inference Dataset for Indonesian
IndoNLI: A Natural Language Inference Dataset for Indonesian This is a repository for data and code accompanying our EMNLP 2021 paper "IndoNLI: A Natu
Dynamica causal Bayesian optimisation
Dynamic Causal Bayesian Optimization This is a Python implementation of Dynamic Causal Bayesian Optimization as presented at NeurIPS 2021. Abstract Th
This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled Time Series presented at Causal Analysis Workshop 2021.
signed-area-causal-inference This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled
Prisma Client Python is an auto-generated and fully type-safe database client
Prisma Client Python is an unofficial implementation of Prisma which is a next-generation ORM that comes bundled with tools, such as Prisma Migrate, which make working with databases as easy as possible.
A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of deployment among async (Asynchronous Inference), batch (Batch Transform), realtime (Real-time Inference Endpoint). More to be added soon!
SageMaker Projects: Multiple Choice Deployment A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of
On-device speech-to-intent engine powered by deep learning
Rhino Made in Vancouver, Canada by Picovoice Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a giv
Python type-checker written in Rust
pravda Python type-checker written in Rust Features Fully typed with annotations and checked with mypy, PEP561 compatible Add yours! Installation pip
Train a state-of-the-art yolov3 object detector from scratch!
TrainYourOwnYOLO: Building a Custom Object Detector from Scratch This repo let's you train a custom image detector using the state-of-the-art YOLOv3 c