349 Repositories
Python state-space Libraries
Easy-to-use library to boost AI inference leveraging state-of-the-art optimization techniques.
NEW RELEASE How Nebullvm Works • Tutorials • Benchmarks • Installation • Get Started • Optimization Examples Discord | Website | LinkedIn | Twitter Ne
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
HugsVision is an open-source and easy to use all-in-one huggingface wrapper for computer vision. The goal is to create a fast, flexible and user-frien
Use the state-of-the-art m2m100 to translate large data on CPU/GPU/TPU. Super Easy!
Easy-Translate is a script for translating large text files in your machine using the M2M100 models from Facebook/Meta AI. We also privide a script fo
This is a free python bot program that crosses you to farm with auto click in space crypto NFT game, having fun :) Creator: Marlon Zanardi
🚀 Space Crypto auto click bot ready-to-use 🚀 This is a free python bot program that crosses you to farm with auto click in space crypto NFT game, ha
Implementation of ETSformer, state of the art time-series Transformer, in Pytorch
ETSformer - Pytorch Implementation of ETSformer, state of the art time-series Transformer, in Pytorch Install $ pip install etsformer-pytorch Usage im
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"
MotionCLIP Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space". Please visit our webpage for mor
[CVPR 2022] TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing (CVPR 2022) This repository provides the official PyTorch impleme
A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swar.
Omni-swarm A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swarm Introduction Omni-swarm is a decentralized omn
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
DeepXF: Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model Also, verify TS signal similarities
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
In recent years, the dense retrievers based on pre-trained language models have achieved remarkable progress. To facilitate more developers using cutt
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
TorchMultimodal (Alpha Release) Introduction TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR. CVPR 2022
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR. CVPR 2022 [Project page | Video] Getting sta
Hyperbolic Image Segmentation, CVPR 2022
Hyperbolic Image Segmentation, CVPR 2022 This is the implementation of paper Hyperbolic Image Segmentation (CVPR 2022). Repository structure assets :
Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
🦩 Flamingo - Pytorch Implementation of Flamingo, state-of-the-art few-shot visual question answering attention net, in Pytorch. It will include the p
Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers
DALLE2 Video (wip) ** only to be built after DALLE2 image is done and replicated, and the importance of the prior network is validated ** Direct appli
[SIGIR22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".
CORE This is the official PyTorch implementation for the paper: Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao. CORE: Simple and Effective Sess
code for paper"3D reconstruction method based on a generative model in continuous latent space"
PyTorch implementation of 3D-VGT(3D-VAE-GAN-Transformer) This repository contains the source code for the paper "3D reconstruction method based on a g
Implementation of the state-of-the-art vision transformers with tensorflow
ViT Tensorflow This repository contains the tensorflow implementation of the state-of-the-art vision transformers (a category of computer vision model
Spacecrypto-bot - SpaceCrypto Bot Auto Clicker
SpaceCrypto Auto Clicker Bot Também fiz um para Luna Rush ( https://github.com/w
KalmanFilterExercise - A Kalman Filter is a algorithmic filter that is used to estimate the state of an unknown variable
Kalman Filter Exercise What are Kalman Filters? A Kalman Filter is a algorithmic
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials
TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
TopClus The source code used for Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations, published in WWW 2022. Requ
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking This is an official implementation for NEAS presented in CVPR
PyTorch implementation of SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching This is the official PyTorch implementation of SMODICE: Versatile Offline I
Official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space
NeuralFusion This is the official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space. We provide code to train the proposed pipel
A classic alien shooting game.
Space-Invaders A classic alien shooting game. Description An open source game created by me and friends. How to play Install the latest python version
Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5
NLP-Summarizer Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5 This project aimed to provide in
A performant state estimator for power system
A state estimator for power system. Turbocharged with sparse matrix support, JIT, SIMD and improved ordering.
This tool converts a Nondeterministic Finite Automata (NFA) into a Deterministic Finite Automata (DFA)
This tool converts a Nondeterministic Finite Automata (NFA) into a Deterministic Finite Automata (DFA)
AttractionFinder - 2022 State Qualified FBLA Attraction Finder Application
Attraction Finder Developers: Riyon Praveen, Aaron Bijoy, & Yash Vora How It Wor
The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space
The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space
Python tool that takes the OCR.space JSON output as input and draws a text overlay on top of the image.
OCR.space OCR Result Checker = Draw OCR overlay on top of image Python tool that takes the OCR.space JSON output as input, and draws an overlay on to
In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.
Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 2021 [Projec
Downloads state flags from wikipedia for states/regions from all countries
world-state-flags Downloads state flags from wikipedia for states/regions from all countries This data is NOT curated Uses https://github.com/dr5hn/co
EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.
EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. This repository is the official im
Equivariant Imaging: Learning Beyond the Range Space
[Project] Equivariant Imaging: Learning Beyond the Range Space Project about the
An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions
Agar.io_Q-Learning_AI An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available act
This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murder rates etc.
Gun-Laws-Classifier This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murde
Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.
NOTE: This is still being developed! Setup notes This document uses Jeff Sackmann's tennis data. You can obtain it as follows: git clone https://githu
Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"
NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise
Codes and scripts for "Explainable Semantic Space by Grounding Languageto Vision with Cross-Modal Contrastive Learning"
Visually Grounded Bert Language Model This repository is the official implementation of Explainable Semantic Space by Grounding Language to Vision wit
A complete, self-contained example for training ImageNet at state-of-the-art speed with FFCV
ffcv ImageNet Training A minimal, single-file PyTorch ImageNet training script designed for hackability. Run train_imagenet.py to get... ...high accur
PyTorch implementation of Higher Order Recurrent Space-Time Transformer
Higher Order Recurrent Space-Time Transformer (HORST) This is the official PyTorch implementation of Higher Order Recurrent Space-Time Transformer. Th
Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
Few-Shot-Intent-Detection Few-Shot-Intent-Detection is a repository designed for few-shot intent detection with/without Out-of-Scope (OOS) intents. It
This respository includes implementations on Manifoldron: Direct Space Partition via Manifold Discovery
Manifoldron: Direct Space Partition via Manifold Discovery This respository includes implementations on Manifoldron: Direct Space Partition via Manifo
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
NOTE We have noticed a lot of concern that PULSE will be used to identify individuals whose faces have been blurred out. We want to emphasize that thi
Just a simple python script to generate graphs of salt state requisites.
saltstatevis Just a simple python script to generate graphs of salt state requisites. Installation Requirements You will need to install graphviz to r
Simple Game created using Python & PyGame, as my Beginner Python Project!
Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc have sound and lot's of keyboard functions. Prerequisites More Experience
Linear Variational State Space Filters
Linear Variational State Space Filters To set up the environment, use the provided scripts in the docker/ folder to build and run the codebase inside
Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
LSF-SAC Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy G
Semantic similarity computation with different state-of-the-art metrics
Semantic similarity computation with different state-of-the-art metrics Description • Installation • Usage • License Description TaxoSS is a semantic
Fully Convlutional Neural Networks for state-of-the-art time series classification
Deep Learning for Time Series Classification As the simplest type of time series data, univariate time series provides a reasonably good starting poin
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection
Deep learning for time series forecasting Flow forecast is an open-source deep learning for time series forecasting framework. It provides all the lat
Quantify the difference between two arbitrary curves in space
similaritymeasures Quantify the difference between two arbitrary curves Curves in this case are: discretized by inidviudal data points ordered from a
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project
Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
The Top 10 Computer Vision Papers of 2021 The top 10 computer vision papers in 2021 with video demos, articles, code, and paper reference. While the w
State-Relabeling Adversarial Active Learning
State-Relabeling Adversarial Active Learning Code for SRAAL [2020 CVPR Oral] Requirements torch = 1.6.0 numpy = 1.19.1 tqdm = 4.31.1 AL Results The
Space robot - (Course Project) Using the space robot to capture the target satellite that is disabled and spinning, then stabilize and fix it up
Space robot - (Course Project) Using the space robot to capture the target satellite that is disabled and spinning, then stabilize and fix it up
A simple Python script I wrote that scrapes NASA's James Webb Space Telescope tracker website using Selenium and returns its current status and location.
A simple Python script I wrote that scrapes NASA's James Webb Space Telescope tracker website using Selenium and returns its current status and location.
AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning
SimSR Code and dataset for the paper SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning (AAAI-22). Requirements We assum
Implementations of LSTM: A Search Space Odyssey variants and their training results on the PTB dataset.
An LSTM Odyssey Code for training variants of "LSTM: A Search Space Odyssey" on Fomoro. Check out the blog post. Training Install TensorFlow. Clone th
HomoInterpGAN - Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation
HomoInterpGAN Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation (CVPR 2019, oral) Installation The implementation is base
PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.
DosGAN-PyTorch PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
Space-event-trace - Tracing service for spaceteam events
space-event-trace Tracing service for TU Wien Spaceteam events. This service is
Imports VZD (Latvian State Land Service) open data into postgis enabled database
Python script main.py downloads and imports Latvian addresses into PostgreSQL database. Data contains parishes, counties, cities, towns, and streets.
Webb-Tracker-Bot - This is a discord bot that displays current progress of the James Webb Space Telescope.
Webb-Tracker-Bot - This is a discord bot that displays current progress of the James Webb Space Telescope.
Saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Saliency Methods 🔴 Now framework-agnostic! (Example core notebook) 🔴 🔗 For further explanation of the methods and more examples of the resulting ma
Vector space based Information Retrieval System for Text Processing - Information retrieval
Information Retrieval: Text Processing Group 13 Sequence of operations Install Requirements Add given wikipedia files to the corpus directory. Downloa
A state-of-the-art semi-supervised method for image recognition
Mean teachers are better role models Paper ---- NIPS 2017 poster ---- NIPS 2017 spotlight slides ---- Blog post By Antti Tarvainen, Harri Valpola (The
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
MixText This repo contains codes for the following paper: Jiaao Chen, Zichao Yang, Diyi Yang: MixText: Linguistically-Informed Interpolation of Hidden
Datasets for new state-of-the-art challenge in disentanglement learning
High resolution disentanglement datasets This repository contains the Falcor3D and Isaac3D datasets, which present a state-of-the-art challenge for co
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Where we are ? 12.27 目前和原论文仍有1%左右得差距,但已经力压很多SOTA了 ckpt__448_epoch_25.pth mIoU
Terraform wrapper to manage state across multiple cloud providers(AWS, GCP, and Azure)
Terraform Remote State Manager(tfremote) tf is a python package for managing terraform remote state for: Google(Gcloud), AWS, and Azure. It sets a def
Python library for science observations from the James Webb Space Telescope
JWST Calibration Pipeline JWST requires Python 3.7 or above and a C compiler for dependencies. Linux and MacOS platforms are tested and supported. Win
Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)
Space-Time Correspondence as a Contrastive Random Walk This is the repository for Space-Time Correspondence as a Contrastive Random Walk, published at
Code for "Unsupervised State Representation Learning in Atari"
Unsupervised State Representation Learning in Atari Ankesh Anand*, Evan Racah*, Sherjil Ozair*, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm This
XViT - Space-time Mixing Attention for Video Transformer
XViT - Space-time Mixing Attention for Video Transformer This is the official implementation of the XViT paper: @inproceedings{bulat2021space, title
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
A top-down arcade space shooter made in pygame.
About: Journey Through Space is a top-down arcade shooter made in pygame. You play as a pilot who was left behind after a battle and the goal is to go
Open-source library for analyzing the results produced by ABINIT
Package Continuous Integration Documentation About AbiPy is a python library to analyze the results produced by Abinit, an open-source program for the
A discord bot thet lets you play Space invaders.
space_Invaders A discord bot thet lets you play Space invaders. It is my first discord bot... so please give any suggestions to improve it :] Commands
Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"
Evolving Search Space for Neural Architecture Search Usage Install all required dependencies in requirements.txt and replace all ..path/..to in the co
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Breaking the Curse of Space Explosion: Towards Effcient NAS with Curriculum Search Pytorch implementation for "Breaking the Curse of Space Explosion:
Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation"
1 Introduction Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation". The code s
Machine learning algorithms for many-body quantum systems
NetKet NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and
Indian Space Research Organisation API With Python
ISRO Indian Space Research Organisation API Installation pip install ISRO Usage import isro isro.spacecrafts() # returns spacecrafts data isro.lau
A discord bot with information and template tracking for pxls.space.
pyCharity A discord bot with information and template tracking for pxls.space. Inspired by Mikarific's Charity bot. Try out the beta version on your s
Tools for the Cleveland State Human Motion and Control Lab
Introduction This is a collection of tools that are helpful for gait analysis. Some are specific to the needs of the Human Motion and Control Lab at C
Almost State-of-the-art Text Generation library
Ps: we are adding transformer model soon Text Gen 🐐 Almost State-of-the-art Text Generation library Text gen is a python library that allow you build
Generating Digital Painting Lighting Effects via RGB-space Geometry (SIGGRAPH2020/TOG2020)
Project PaintingLight PaintingLight is a project conducted by the Style2Paints team, aimed at finding a method to manipulate the illumination in digit
Working demo of the Multi-class and Anomaly classification model using the CLIP feature space
👁️ Hindsight AI: Crime Classification With Clip About For Educational Purposes Only This is a recursive neural net trained to classify specific crime
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
DeepCourse: Deep Learning for Computer Vision arthurdouillard.com/deepcourse/ This is a course I'm giving to the French engineering school EPITA each
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
HETU Documentation | Examples Hetu is a high-performance distributed deep learning system targeting trillions of parameters DL model training, develop
Space Ship Simulator using python
FlyOver Basic space-ship simulator using python How to run? Just double click run.py What modules do i need? All modules that i currently using is bui
Oregon State University grade distributions from Fall 2018 through Summer 2021
Oregon State University Grades Oregon State University grade distributions from Fall 2018 through Summer 2021 obtained through a Freedom Of Informatio
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Periodically check the manuscript state in the scholar one system and send email when finding a new state.
ScholarOne-manuscript-checker Periodically check the manuscript state in the scholar one system and send email when finding a new state. Parameters ne
Get the partition that a file belongs and the percentage of space that consumes
tinos_eisai_sy Get the partition that a file belongs and the percentage of space that consumes (works only with OSes that use the df command) tinos_ei