Python Fast-Symbolic-Regression Resources

Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! You can even style videos! It takes 100ms o

Documentation and issues for Pylance - Fast, feature-rich language support for Python

Discord-Token-checker Fast discord token checker with high cpm preivew Download git clone https://github.com/TusTusDev/Discord-Token-checker pip insta

Condor Ordinal regression in Tensorflow Keras Tensorflow Keras implementation of CONDOR Ordinal Regression (aka ordinal classification) by Garrett Jen

PIXIE: Collaborative Regression of Expressive Bodies [Project Page] This is the official Pytorch implementation of PIXIE. PIXIE reconstructs an expres

molten A minimal, extensible, fast and productive API framework for Python 3. Changelog: https://moltenframework.com/changelog.html Community: https:/

Joyful Python Web App development Appier is an object-oriented Python web framework built for super fast app development. It's as lightweight as possi

CONDOR pytorch implementation for ordinal regression with deep neural networks. Documentation: https://GarrettJenkinson.github.io/condor_pytorch About

Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees" Installa

fast_bss_eval Do you have a zillion BSS audio files to process and it is taking days ? Is your simulation never ending ? Fear no more! fast_bss_eval i

Fast Fourier Convolution (FFC) for Image Classification This is the official code of Fast Fourier Convolution for image classification on ImageNet. Ma

fastapi-admin is a fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin.

pycraigslist A fast and expressive Craigslist API wrapper. ⚠ As of September 2021, it is believed that Craigslist added a rate-limiter. It is advised

Bangalore-House-Price-Prediction An end-to-end regression problem of predicting the price of properties in Bangalore. Deployed in Heroku using Flask.

fast_bss_eval Do you have a zillion BSS audio files to process and it is taking days ? Is your simulation never ending ? Fear no more! fast_bss_eval i

CTDNet The PyTorch code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection" Requirements Python 3.6

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

TorchOk - The toolkit for fast Deep Learning experiments in Computer Vision

Tribuo - A Java prediction library (v4.1) Tribuo is a machine learning library in Java that provides multi-class classification, regression, clusterin

GndNet: Fast Ground plane Estimation and Point Cloud Segmentation for Autonomous Vehicles. Authors: Anshul Paigwar, Ozgur Erkent, David Sierra Gonzale

fcdir fast change directory with python and ruby run run python script , chose drirectoy and change your directory need you need python and ruby deskt

Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression

Fast Soft Color Segmentation

Ξ L I N Λ 👸 A Powerful, Smart And Simple Group Manager bot Avaiilable a latest version as Ξ L I N Λ 👸 on Telegram Self-hosting (For Devs) vps # Inst

Beyonic API Python official client library simplified examples using Flask, Django and Fast API.

hardware design of the 250mm drone

Driller Driller is an implementation of the driller paper. This implementation was built on top of AFL with angr being used as a symbolic tracer. Dril

Angora Angora is a mutation-based coverage guided fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without s

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

NanoASGI Asynchronous Python Web Framework NanoASGI is a fast ⚡ , simple and light 💡 weight ASGI micro 🔬 web 🌏 -framework for Python 🐍 . It is dis

Beyonic API Python Examples. The beyonic APIs Doc Reference: https://apidocs.beyonic.com/ To start using the Beyonic API Python API, you need to start

News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which

secp256k1 Python Library for Secp256k1 Bitcoin curve to do fast ECC calculation Example Usage import secp256k1 as ice print('[C]',privatekey_to_addres

imgp is a command line image resizer and rotator for JPEG and PNG images.

DCVNet: Dilated Cost Volumes for Fast Optical Flow This repository contains our implementation of the paper: @InProceedings{jiang2021dcvnet, title={

Roid 🤖 A fast, stateless http slash commands framework for scale. Built by the Crunchy bot team. 🚀 Installation You can install roid in it's default

One-Stage Visual Grounding ***** New: Our recent work on One-stage VG is available at ReSC.***** A Fast and Accurate One-Stage Approach to Visual Grou

Reddit-Image-Scraper Reddit Reddit is an American Social news aggregation, web content rating, and discussion website. Reddit has been devided by topi

LND ⚡ Routing High capacity, high availability, well connected, fast lightning node. We aim to become a top liquidity provider for the lightning netwo

transducer A Fast Sequence Transducer Implementation with PyTorch Bindings. The corresponding publication is Sequence Transduction with Recurrent Neur

fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme

FastNeuralStyle by Pytorch Fast Neural Style for Image Style Transform by Pytorch This is famous Fast Neural Style of Paper Perceptual Losses for Real

fast-neural-style 🌇 🚀 NOTICE: This codebase is no longer maintained, please use the codebase from pytorch examples repository available at pytorch/e

Announcement 11/18 This package is no longer supported. We have now released kymatio: http://www.kymat.io/ , https://github.com/kymatio/kymatio which

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer This repository contains the PyTorch code for Evo-ViT. This work proposes a slow-fas

html_png An API that renders HTML/CSS content to PNG using Chromium Disclaimer I am not responsible if you happen to make your own instance of this AP

Fast and Robust Relative Pose Estimation for Calibrated Cameras This repository contains the code for the relative pose estimation between two central

Created by Stephen McDonald Introduction Up until PostgreSQL 9.2, COUNT queries generally required scanning every row in a database table. With millio

MyTT Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! to Stock Market Financial Technical Analysis Python

Flask-Fastx Flask-Fastx is a Fast API style support for Flask. It Gives you MyPy types with the flexibility of flask. Compatibility Flask-Fastx requir

streamdf Streamdf is a lightweight data frame library built on top of the dictionary of numpy array, developed for Kaggle's time-series code competiti

Krema A fast, flexible and lightweight Discord API wrapper for Python. Installation Unikorn unikorn add kremayard krema -no-confirmation Pip pip insta

Loyal Fast, Simple API for fetching Apple Firmwares. The API server is closed due to some reasons. Wait for v2 releases. Features Fetching Signed IPSW

Youtube video downloader using Django Using Django as a backend along with pytube module to create Youtbue Video Downloader. https://yt-videos-downloa

Send Emails through the terminal , fast and secure

safe-control-gym Physics-based CartPole and Quadrotor Gym environments (using PyBullet) with symbolic a priori dynamics (using CasADi) for learning-ba

TFlite Ultra Fast Lane Detection Inference Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite. So

discord-token-checker ⚡ A really fast and powerful Discord Token Checker How To Use? Do pip install -r requirements.txt in your command prompt Make to

Fast MST Algorithm Implementation of fast algorithms for (Maximum Spanning Tree) MST parsing that includes fast ArcMax+Reweighting+Tarjan algorithm fo

proto A fast tool to scan prototype pollution vulnerability Syntax python3 proto.py -l alive.txt Requirements Selenium Google Chrome Webdriver Note :

WarpDrive is a flexible, lightweight, and easy-to-use open-source reinforcement learning (RL) framework that implements end-to-end multi-agent RL on a single GPU (Graphics Processing Unit).

Sink is a CLI synchronisation tool that enables a user to synchronise local system files and folders with their Google Drives. It follows a git C

Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

ray-tracing-one-weekend-taichi A fast python implementation of Ray Tracing in One Weekend using python and Taichi. Taichi is a simple "Domain specific

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Text Classification Baseline Pipeline for fast building text classification TF-IDF + LogReg baselines. Usage Instead of writing custom code for specif

SADRNet Paper link: SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction Requirements python

CoRe Created by Xumin Yu*, Yongming Rao*, Wenliang Zhao, Jiwen Lu, Jie Zhou This is the PyTorch implementation for ICCV paper Group-aware Contrastive

hexxus Hexxus is a fast hash cracking tool which checks more than 30 thousand passwords in under 4 seconds and can crack the following types bcrypt sh

DeltaCAT DeltaCAT is a Pythonic Data Catalog powered by Ray. Its data storage model allows you to define and manage fast, scalable, ACID-compliant dat

FPS, fast pluggable server, is a framework designed to compose and run a web-server based on plugins. It is based on top of fastAPI, uvicorn, typer, and pluggy.

The DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance. In this paper, we handle the critical issue, slow training convergence, and present a conditional cross-attention mechanism for fast DETR training. Our approach is motivated by that the cross-attention in DETR relies highly on the content embeddings and that the spatial embeddings make minor contributions, increasing the need for high-quality content embeddings and thus increasing the training difficulty.

Fast as FUCK nvim completion. SQLite, concurrent scheduler, hundreds of hours of optimization.

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling Reference Main paper to be cited (Di Wu et al., 2020) @article

A library for fast import of Windows NT Registry(REGF) into Elasticsearch.

A fast, user friendly ORM and query builder which supports asyncio.

Sum-Product Probabilistic Language SPPL is a probabilistic programming language that delivers exact solutions to a broad range of probabilistic infere

Proteno This is the data release associated with the corresponding NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deploymen

FPGA & FreeNet Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification by Zhuo Zheng, Yanfei Zhong, Ailong M

Introduction Code and data for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning". We cons

NeuralSymbolicRegressionThatScales Pytorch implementation and pretrained models for the paper "Neural Symbolic Regression That Scales", presented at I

GlokyPortScannar is a really fast tool to scan TCP ports implemented in Python. Installation: This program requires Python 3.9. Linux

Easily turn single threaded command line applications into a fast, multi-threaded application with CIDR and glob support.

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee

Human Pose Regression with Residual Log-likelihood Estimation [Paper] [arXiv] [Project Page] Human Pose Regression with Residual Log-likelihood Estima

Polarized Self-Attention: Towards High-quality Pixel-wise Regression This is an official implementation of: Huajun Liu, Fuqiang Liu, Xinyi Fan and Don

LARGE: Latent-Based Regression through GAN Semantics [Project Website] [Google Colab] [Paper] LARGE: Latent-Based Regression through GAN Semantics Yot

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy

transducer A Fast Sequence Transducer Implementation with PyTorch Bindings. The corresponding publication is Sequence Transduction with Recurrent Neur

Quantile Regression DQN Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arx

SimGNN ⠀⠀⠀ A PyTorch implementation of SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (WSDM 2019). Abstract Graph similarity s

MidiBERT-Piano Authors: Yi-Hui (Sophia) Chou, I-Chun (Bronwin) Chen Introduction This is the official repository for the paper, MidiBERT-Piano: Large-

GDR-Net This repo provides the PyTorch implementation of the work: Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji. GDR-Net: Geometry-Guided

DTUeval-python A python implementation of DTU MVS 2014 evaluation. It only takes 1min for each mesh evaluation. And the gap between the two implementa

SPARSEDNN **If you want to use this repo, please send me an email: [email protected], or raise a Github issue. ** Fast sparse deep learning on CPUs

pyctcdecode A fast and feature-rich CTC beam search decoder for speech recognition written in Python, providing n-gram (kenlm) language model support

domhttpx is a google search engine dorker with HTTP toolkit built with python, can make it easier for you to find many URLs/IPs at once with fast time

Yata is a fast, simple and easy Data Visulaization tool, running on python dash. The main goal of Yata is to provide a easy way for persons with little programming knowledge to visualize their data easily.

FCL-Taco2: Towards Fast, Controllable and Lightweight Text-to-Speech synthesis (ICASSP 2021) Paper | Demo Block diagram of FCL-taco2, where the decode