6165 Repositories
Python Train-Semantic-Segmentation-Net-with-Pytorch-In-50-Lines-Of-Code Libraries
Digitalizing-Prescription-Image - PIRDS - Prescription Image Recognition and Digitalizing System is a OCR make with Tensorflow
Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit
Causal-Adversarial-Instruments - PyTorch Implementation for Developing Library of Investigating Adversarial Examples on A Causal View by Instruments
Causal-Adversarial-Instruments This is a PyTorch Implementation code for develop
Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations
Expediting Vision Transformers via Token Reorganizations This repository contain
Breaching - Breaching privacy in federated learning scenarios for vision and text
Breaching - A Framework for Attacks against Privacy in Federated Learning This P
HashNeRF-pytorch - Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives
HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin
MicroStealer - A compact Discord Token Logger/Discord Token Grabber made in only 15 lines of code! Injects into discord for long-term use
💾 MicroStealer ⚡ A compact Discord Token Logger/Discord Token Grabber made in o
Sharpened cosine similarity torch - A Sharpened Cosine Similarity layer for PyTorch
Sharpened Cosine Similarity A layer implementation for PyTorch Install At your c
GEA - Code for Guided Evolution for Neural Architecture Search
Efficient Guided Evolution for Neural Architecture Search Usage Create a conda e
Official code release for: EditGAN: High-Precision Semantic Image Editing
Official code release for: EditGAN: High-Precision Semantic Image Editing
Python-Kite: Simple python code to make kite pattern
Python-Kite Simple python code to make kite pattern. Getting Started These instr
Using PyTorch Perform intent classification using three different models to see which one is better for this task
Using PyTorch Perform intent classification using three different models to see which one is better for this task
Source code to accompany Defunctland's video "FASTPASS: A Complicated Legacy"
Shapeland Simulator Source code to accompany Defunctland's video "FASTPASS: A Complicated Legacy" Download the video at https://www.youtube.com/watch?
This is the code repository for LRM Stochastic watershed model.
LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit
The LaTeX and Python code for generating the paper, experiments' results and visualizations reported in each paper is available (whenever possible) in the paper's directory
This repository contains the software implementation of most algorithms used or developed in my research. The LaTeX and Python code for generating the
A program that generates discord.py code
discord-py-generator A program that generates discord.py code Setup in cmds.txt file add your user id, client id and bot token you can change the bot
This is a simple bot for running Python code through Discord
Python Code Runner Discord Bot This is a simple bot for running Python code through Discord. It was originally developed for the Beginner.Codes Discor
The visual framework is designed on the idea of module and implemented by mixin method
Visual Framework The visual framework is designed on the idea of module and implemented by mixin method. Its biggest feature is the mixins module whic
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework Introduction OpenFed is a foundational library for federated learning
PyTorch implementation for the paper Pseudo Numerical Methods for Diffusion Models on Manifolds
Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM) This repo is the official PyTorch implementation for the paper Pseudo Numerical Meth
Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"
Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data" You can download the pretrained
Code To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment.
COLIEE 2021 - task 2: Legal Case Entailment This repository contains the code to reproduce NeuralMind's submissions to COLIEE 2021 presented in the pa
Companion code for the paper Theoretical characterization of uncertainty in high-dimensional linear classification
Companion code for the paper Theoretical characterization of uncertainty in high-dimensional linear classification Usage The required packages are lis
Source code of our work: "Benchmarking Deep Models for Salient Object Detection"
SALOD Source code of our work: "Benchmarking Deep Models for Salient Object Detection". In this works, we propose a new benchmark for SALient Object D
This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationships.
Auto-Lambda This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationship
PyTorch implementation of the Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning This is the official PyTorch implementation of the ContrastiveCrop paper: @artic
Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentation"
Hyper-Convolution Networks for Biomedical Image Segmentation Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentatio
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection.
Code for the paper: How Effective is Incongruity? Implications for Code-mix Sarcasm Detection - ICON ACL 2021
PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework
A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)
Download nitro generator that generates free nitro code that you can use for Discord
Download nitro generator that generates free nitro code that you can use for Discord, run it and wait for free nitro to come
3D Model files and source code for rotating turntable. Raspberry Pi, DC servo and PWM modulator required.
3DSimpleTurntable 3D Model files and source code for rotating turntable. Raspberry Pi, DC servo and PWM modulator required. Preview Construction Print
A simple Python code that takes input from a csv file and makes it into a vcf file.
Contacts-Maker A simple Python code that takes input from a csv file and makes it into a vcf file. Imagine a college or a large community where each y
Nonton anime subtitle Indonesia tanpa iklan. Dengan GUI berbasis PyQt5 dan spaghetti code yang sangat tidak terstruktur
Nonton anime subtitle Indonesia tanpa iklan. Dengan GUI berbasis PyQt5 dan spaghetti code yang sangat tidak terstruktur
The python source code sorter
Sorts the contents of python modules so that statements are placed after the things they depend on, but leaves grouping to the programmer. Groups class members by type and enforces topological sorting of methods.
This repository contains code from the paper "TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network"
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network This repository contains code from the paper "TTS-GAN: A Transformer-based Tim
Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals"
The Temporal Robustness of Stochastic Signals Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals" Case stud
PyTorch-Geometric Implementation of MarkovGNN: Graph Neural Networks on Markov Diffusion
MarkovGNN This is the official PyTorch-Geometric implementation of MarkovGNN paper under the title "MarkovGNN: Graph Neural Networks on Markov Diffusi
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
This repository contains the code for: RerrFact model for SciVer shared task
RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S
Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder
Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder Authors: - Eashan Adhikarla - Dan Luo - Dr. Brian D. Davison Abstract Many
Citation Intent Classification in scientific papers using the Scicite dataset an Pytorch
Citation Intent Classification Table of Contents About the Project Built With Installation Usage Acknowledgments About The Project Citation Intent Cla
PyTorch-lightning implementation of the ESFW module proposed in our paper Edge-Selective Feature Weaving for Point Cloud Matching
Edge-Selective Feature Weaving for Point Cloud Matching This repository contains a PyTorch-lightning implementation of the ESFW module proposed in our
Implemenets the Contourlet-CNN as described in C-CNN: Contourlet Convolutional Neural Networks, using PyTorch
C-CNN: Contourlet Convolutional Neural Networks This repo implemenets the Contourlet-CNN as described in C-CNN: Contourlet Convolutional Neural Networ
KoRean based ELECTRA pre-trained models (KR-ELECTRA) for Tensorflow and PyTorch
KoRean based ELECTRA (KR-ELECTRA) This is a release of a Korean-specific ELECTRA model with comparable or better performances developed by the Computa
PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"
A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"
A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)
Real-time Instance Segmentation and Lane Detection This is a lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look
Uses OpenCV and Python Code to detect a face on the screen
Simple-Face-Detection This code uses OpenCV and Python Code to detect a face on the screen. This serves as an example program. Important prerequisites
Clean and readable code for Decision Transformer: Reinforcement Learning via Sequence Modeling
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
FNet Implementation with TensorFlow & PyTorch
FNet Implementation with TensorFlow & PyTorch. TensorFlow & PyTorch implementation of the paper "FNet: Mixing Tokens with Fourier Transforms". Overvie
Image-to-image regression with uncertainty quantification in PyTorch
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Learning Visual Words for Weakly-Supervised Semantic Segmentation
[IJCAI 2021] Learning Visual Words for Weakly-Supervised Semantic Segmentation Implementation of IJCAI 2021 paper Learning Visual Words for Weakly-Sup
PyTorch Implementation of our paper Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
PyTorch Implementation of our paper Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection
DDMP-3D Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection, a paper on CVPR2021. Instroduction T
PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection?
PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
PyTorch implementations of the NeRF model described in "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis"
PyTorch NeRF and pixelNeRF NeRF: Tiny NeRF: pixelNeRF: This repository contains minimal PyTorch implementations of the NeRF model described in "NeRF:
SGPT: Multi-billion parameter models for semantic search
SGPT: Multi-billion parameter models for semantic search This repository contains code, results and pre-trained models for the paper SGPT: Multi-billi
Notebook and code to synthesize complex and highly dimensional datasets using Gretel APIs.
Gretel Trainer This code is designed to help users successfully train synthetic models on complex datasets with high row and column counts. The code w
Residual Dense Net De-Interlace Filter (RDNDIF)
Residual Dense Net De-Interlace Filter (RDNDIF) Work in progress deep de-interlacer filter. It is based on the architecture proposed by Bernasconi et
PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning"
PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".
QR code python application which can read(decode) and generate(encode) QR codes.
QR Code Application This is a basic QR Code application. Using this application you can generate QR code for you text/links. Using this application yo
Neural Radiance Fields Using PyTorch
This project is a PyTorch implementation of Neural Radiance Fields (NeRF) for reproduction of results whilst running at a faster speed.
This respository contains the source code of the printjack and phonejack attacks.
Printjack-Phonejack This repository contains the source code of the printjack and phonejack attacks. The Printjack directory contains the script to ca
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation, and natural language understanding (NLU).
A simple stopwatch for measuring code performance with static typing.
A simple stopwatch for measuring code performance. This is a fork from python-stopwatch, which adds static typing and a few other things.
PyHarmonize: Adding harmony lines to recorded melodies in Python
PyHarmonize: Adding harmony lines to recorded melodies in Python About To use this module, the user provides a wav file containing a melody, the key i
Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.
Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.
Code-autocomplete, a code completion plugin for Python
Code AutoComplete code-autocomplete, a code completion plugin for Python.
KinectFusion implemented in Python with PyTorch
KinectFusion implemented in Python with PyTorch This is a lightweight Python implementation of KinectFusion. All the core functions (TSDF volume, fram
Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT
Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).
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
NeuroGen: activation optimized image synthesis for discovery neuroscience
NeuroGen: activation optimized image synthesis for discovery neuroscience NeuroGen is a framework for synthesizing images that control brain activatio
Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation
Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;
Official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training
Official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training (ISBI 2022)
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation
FIRA is a learning-based commit message generation approach, which first represents code changes via fine-grained graphs and then learns to generate commit messages automatically.
PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning
ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg
Pandas-method-chaining is a plugin for flake8 that provides method chaining linting for pandas code
pandas-method-chaining pandas-method-chaining is a plugin for flake8 that provides method chaining linting for pandas code. It is a fork from pandas-v
An email sending system with random confirmation code.
email_sending An email sending system with random confirmation code. Description Confirmation emails are sent based on the list of email addresses. Ea
Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates"
Peer Loss functions This repository is the (Multi-Class & Deep Learning) Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels wi
A small python script which runs a speedtest using speedtest.net and inserts it into a Google Docs Spreadsheet.
speedtest-google-sheets This is a small python script which runs a speedtest using speedtest.net and inserts it into a Google Docs Spreadsheet. Setup
Doughskript interpreter for converting simple command sequences into executable Arduino C++ code.
Doughskript interpreter for converting simple command sequences into executable Arduino C++ code.
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2. It is trained (finetuned) on a curated list of approximately 45K Python (~470MB) files gathered from the Github. Currently, it just works properly on Python but not bad at other languages (thanks to GPT-2's power).
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj
The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you
Open Source defrag's mod code
Open Source defrag's mod code Goals: Code & License: Respect FOSS philosophy. Open source and community focus. Eliminate all traces of q3a-sdk licensi
Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions"
ModelNet-C Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions". For the latest updates, see: sites.google.com
Code emulator plugin for IDA Pro
emu_ida Code emulator plugin for IDA Pro (v 0.0.6) The plugin is designed for simple data decryption and getting stack strings. Requirements Emulator
Pytorch implementation of MaskGIT: Masked Generative Image Transformer
Pytorch implementation of MaskGIT: Masked Generative Image Transformer
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption
⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor
Code infrastructure and player algorithms for the Codenames board game.
Codenames Code infrastructure and player algorithms for the Codenames board game. This is the active fork of mkali-personal/codenames. Intro This is b
This repository contains the code for Direct Molecular Conformation Generation (DMCG).
Direct Molecular Conformation Generation This repository contains the code for Direct Molecular Conformation Generation (DMCG). Dataset Download rdkit
Code for ML, domain generation, graph generation of ABC dataset
This is the repository for codes for ML, domain generation, graph generation of Asymmetric Buckling Columns (ABC) dataset in the paper "Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks".
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation By Qing Xu, Wenting Duan and Na He Requirements pytorch==1.1
PyTorch implementation of the paper: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Estimate the noise transition matrix with f-mutual information. This co
Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces"
Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces" This repo contains the implementation of GEBO algorithm.
This repository contains python code necessary to replicated the experiments performed in our paper "Invariant Ancestry Search"
InvariantAncestrySearch This repository contains python code necessary to replicated the experiments performed in our paper "Invariant Ancestry Search
The mini-AlphaStar (mini-AS, or mAS) - mini-scale version (non-official) of the AlphaStar (AS)
A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.
Code Repository for "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"
Hierarchical Token Semantic Audio Transformer Introduction The Code Repository for "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound
Source code for "Understanding Knowledge Integration in Language Models with Graph Convolutions"
Graph Convolution Simulator (GCS) Source code for "Understanding Knowledge Integration in Language Models with Graph Convolutions" Requirements: PyTor
Code for reproducible experiments presented in KSD Aggregated Goodness-of-fit Test.
Code for KSDAgg: a KSD aggregated goodness-of-fit test This GitHub repository contains the code for the reproducible experiments presented in our pape