7173 Repositories
Python SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING Libraries
[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
ADDS-DepthNet This is the official implementation of the paper Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation I
This repo holds codes of the ICCV21 paper: Visual Alignment Constraint for Continuous Sign Language Recognition.
VAC_CSLR This repo holds codes of the paper: Visual Alignment Constraint for Continuous Sign Language Recognition.(ICCV 2021) [paper] Prerequisites Th
Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"
Dataset and Code for RealVSR Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme Xi Yang, Wangmeng Xiang,
This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation" (ICCV 2021).
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation This is the code relat
[ICCV' 21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
OcCo: Unsupervised Point Cloud Pre-training via Occlusion Completion This repository is the official implementation of paper: "Unsupervised Point Clou
[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. This codebase contains baseline of our paper Mini
Crossover Learning for Fast Online Video Instance Segmentation (ICCV 2021)
TL;DR: CrossVIS (Crossover Learning for Fast Online Video Instance Segmentation) proposes a novel crossover learning paradigm to fully leverage rich c
(ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.
DARS Code release for the paper "Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation", ICCV 2021
Code for the Paper: Conditional Variational Capsule Network for Open Set Recognition
Conditional Variational Capsule Network for Open Set Recognition This repository hosts the official code related to "Conditional Variational Capsule N
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving Code will be available soon. Motivation Architecture
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection arxiv link News Sparse RCNN+DetCo improves from 45.0 AP to 46.5 AP(+1.5) with 3x+ms trai
VLGrammar: Grounded Grammar Induction of Vision and Language
VLGrammar: Grounded Grammar Induction of Vision and Language
Parametric Contrastive Learning (ICCV2021)
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
Official implementation of Few-Shot and Continual Learning with Attentive Independent Mechanisms
Few-Shot and Continual Learning with Attentive Independent Mechanisms This repository is the official implementation of Few-Shot and Continual Learnin
[ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)
Semantics Disentangling for Generalized Zero-shot Learning This is the official implementation for paper Zhi Chen, Yadan Luo, Ruihong Qiu, Zi Huang, J
Codes for the ICCV'21 paper "FREE: Feature Refinement for Generalized Zero-Shot Learning"
FREE This repository contains the reference code for the paper "FREE: Feature Refinement for Generalized Zero-Shot Learning". [arXiv][Paper] 1. Prepar
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
Sketch Your Own GAN Project | Paper | Youtube | Slides Our method takes in one or a few hand-drawn sketches and customizes an off-the-shelf GAN to mat
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning (CoRL 2021)
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning Object-object Interaction Affordance Learning. For a given object-object int
Complete the code of prefix-tuning in low data setting
Prefix Tuning Note: 作者在论文中提到使用真实的word去初始化prefix的操作(Initializing the prefix with activations of real words,significantly improves generation)。我在使用作者提供的
Efficient Training of Audio Transformers with Patchout
PaSST: Efficient Training of Audio Transformers with Patchout This is the implementation for Efficient Training of Audio Transformers with Patchout Pa
A simple language translator with python and google translate api
Language translator with python A simple language translator with python and google translate api Install pip and python 3.9. All the required depende
Guiding evolutionary strategies by (inaccurate) differentiable robot simulators @ NeurIPS, 4th Robot Learning Workshop
Guiding Evolutionary Strategies by Differentiable Robot Simulators In recent years, Evolutionary Strategies were actively explored in robotic tasks fo
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
The official github repository for Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models This is the official github repository for Towards Continual Knowledge Learning of Language Mo
RSC-Net: 3D Human Pose, Shape and Texture from Low-Resolution Images and Videos
RSC-Net: 3D Human Pose, Shape and Texture from Low-Resolution Images and Videos Implementation for "3D Human Pose, Shape and Texture from Low-Resoluti
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
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Repository of the paper Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models at ML4AD @ NeurIPS 2021.
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models Code and supplementary materials Repository of the p
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).
HIGL This is a PyTorch implementation for our paper: Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning (NeurIPS 2021). Our cod
Chinese Advertisement Board Identification(Pytorch)
Chinese-Advertisement-Board-Identification. We use YoloV5 to extract the ROI of the location of the chinese word. Next, we sort the bounding box and recognize every chinese words which we extracted. The methods which we use are Yolov5, ArgMargin and Focal loss.
A trashy useless Latin programming language written in python.
Codigum! The first programming langage in latin! (please keep your eyes closed when if you read the source code) It is pretty useless though. Document
MLSpace: Hassle-free machine learning & deep learning development
MLSpace: Hassle-free machine learning & deep learning development
Code to reproduce the results of the paper 'Towards Realistic Few-Shot Relation Extraction' (EMNLP 2021)
Realistic Few-Shot Relation Extraction This repository contains code to reproduce the results in the paper "Towards Realistic Few-Shot Relation Extrac
Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python
Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python THIS PROJECT IS CURRENTLY A WORK IN PROGRESS AND THUS THIS REPOSITORY I
Sodium is a general purpose programming language which is instruction-oriented
Sodium is a general purpose programming language which is instruction-oriented (a new programming concept that we are developing and devising)
AWS Blog post code for running feature-extraction on images using AWS Batch and Cloud Development Kit (CDK).
Batch processing with AWS Batch and CDK Welcome This repository demostrates provisioning the necessary infrastructure for running a job on AWS Batch u
An image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testingAn image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testing
SVM Données Une base d’images contient 490 images pour l’apprentissage (400 voitures et 90 bateaux), et encore 21 images pour fait des tests. Prétrait
An unofficial personal implementation of UM-Adapt, specifically to tackle joint estimation of panoptic segmentation and depth prediction for autonomous driving datasets.
Semisupervised Multitask Learning This repository is an unofficial and slightly modified implementation of UM-Adapt[1] using PyTorch. This code primar
Rocket-recycling with Reinforcement Learning
Rocket-recycling with Reinforcement Learning Developed by: Zhengxia Zou I have long been fascinated by the recovery process of SpaceX rockets. In this
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework
VFedPCA+VFedAKPCA This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-
Road Crack Detection Using Deep Learning Methods
Road-Crack-Detection-Using-Deep-Learning-Methods This is my Diploma Thesis ¨Road Crack Detection Using Deep Learning Methods¨ under the supervision of
'A C2C E-COMMERCE TRUST MODEL BASED ON REPUTATION' Python implementation
Project description A library providing functionalities to calculate reputation and degree of trust on C2C ecommerce platforms. The work is fully base
Here I will explain the flow to deploy your custom deep learning models on Ultra96V2.
Xilinx_Vitis_AI This repo will help you to Deploy your Deep Learning Model on Ultra96v2 Board. Prerequisites Vitis Core Development Kit 2019.2 This co
A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.
meddlr Getting Started Meddlr is a config-driven ML framework built to simplify medical image reconstruction and analysis problems. Installation To av
A programming language with logic of Python, and syntax of all languages.
Pytov The idea was to take all well known syntaxes, and combine them into one programming language with many posabilities. Installation Install using
Open-source linguistic ethnography tool for framing public opinion in mediatized groups.
Open-source linguistic ethnography tool for framing public opinion in mediatized groups. Table of Contents Installing Quickstart Links Installing Pyth
Tool for automatically reordering python imports. Similar to isort but uses static analysis more.
reorder_python_imports Tool for automatically reordering python imports. Similar to isort but uses static analysis more. Installation pip install reor
SOTA model in CIFAR10
A PyTorch Implementation of CIFAR Tricks 调研了CIFAR10数据集上各种trick,数据增强,正则化方法,并进行了实现。目前项目告一段落,如果有更好的想法,或者希望一起维护这个项目可以提issue或者在我的主页找到我的联系方式。 0. Requirement
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
B-Pref Official codebase for B-Pref: Benchmarking Preference-BasedReinforcement Learning contains scripts to reproduce experiments. Install conda env
Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network An official PyTorch implementation of the RBSRICNN network as desc
Real-Time High-Resolution Background Matting
Real-Time High-Resolution Background Matting Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires captur
Implementation of "Scaled-YOLOv4: Scaling Cross Stage Partial Network" using PyTorch framwork.
YOLOv4-large This is the implementation of "Scaled-YOLOv4: Scaling Cross Stage Partial Network" using PyTorch framwork. YOLOv4-CSP YOLOv4-tiny YOLOv4-
In this Repo a simple Sklearn Model will be trained and pushed to MLFlow
SKlearn_to_MLFLow In this Repo a simple Sklearn Model will be trained and pushed to MLFlow Install This Repo is based on poetry python3 -m venv .venv
Auto HMM: Automatic Discrete and Continous HMM including Model selection
Auto HMM: Automatic Discrete and Continous HMM including Model selection
PyTorch implementation of Spiking Neural Networks trained on surrogate gradient & BPTT using snntorch.
snn-localization repo PyTorch implementation of Spiking Neural Networks trained on surrogate gradient & BPTT using snntorch. Install Dependencies Orig
Replication of Pix2Seq with Pretrained Model
Pretrained-Pix2Seq We provide the pre-trained model of Pix2Seq. This version contains new data augmentation. The model is trained for 300 epochs and c
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment The official implementation of Arch-Net: Model Distillation for Architecture A
Ukrainian TTS (text-to-speech) using Coqui TTS
title emoji colorFrom colorTo sdk app_file pinned Ukrainian TTS 🐸 green green gradio app.py false Ukrainian TTS 📢 🤖 Ukrainian TTS (text-to-speech)
Chinese Pre-Trained Language Models (CPM-LM) Version-I
CPM-Generate 为了促进中文自然语言处理研究的发展,本项目提供了 CPM-LM (2.6B) 模型的文本生成代码,可用于文本生成的本地测试,并以此为基础进一步研究零次学习/少次学习等场景。[项目首页] [模型下载] [技术报告] 若您想使用CPM-1进行推理,我们建议使用高效推理工具BMI
A faster and highly-compatible implementation of the Python programming language.
Pyston Pyston is a fork of CPython 3.8.8 with additional optimizations for performance. It is targeted at large real-world applications such as web se
Deep Learning Based Fasion Recommendation System for Ecommerce
Project Name: Fasion Recommendation System for Ecommerce A Deep learning based streamlit web app which can recommened you various types of fasion prod
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. This repository provides the codebase and dataset for our work WORD: Revisiting Or
Perturb-and-max-product: Sampling and learning in discrete energy-based models
Perturb-and-max-product: Sampling and learning in discrete energy-based models This repo contains code for reproducing the results in the paper Pertur
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
B-Pref Official codebase for B-Pref: Benchmarking Preference-BasedReinforcement Learning contains scripts to reproduce experiments. Install conda env
RLDS stands for Reinforcement Learning Datasets
RLDS RLDS stands for Reinforcement Learning Datasets and it is an ecosystem of tools to store, retrieve and manipulate episodic data in the context of
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding This repo contains the data and source code for baseline models in the NeurIPS 2
3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay 3rd Place Solution for ICCV 2021 Workshop SS
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
TimeMatch Official source code of TimeMatch: Unsupervised Cross-region Adaptation by Temporal Shift Estimation by Joachim Nyborg, Charlotte Pelletier,
OCR Post Correction for Endangered Language Texts
📌 Coming soon: an update to the software including features from our paper on semi-supervised OCR post-correction, to be published in the Transaction
Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."
Polypharmacy - DDI - Synergy Survey The Survey Paper This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polyp
A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.
Readme: Illuminating Diverse Neural Cellular Automata for Level Generation This is the codebase used to generate the results presented in the paper av
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
OSCAR Project Page | Paper This repository contains the codebase used in OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Ma
Code for "Learning to Regrasp by Learning to Place"
Learning2Regrasp Learning to Regrasp by Learning to Place, CoRL 2021. Introduction We propose a point-cloud-based system for robots to predict a seque
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
ADGCL : Adversarial Graph Augmentation to Improve Graph Contrastive Learning Introduction This repo contains the Pytorch [1] implementation of Adversa
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval Pytorch implementation of SPQ Accepted to ICCV 2021 - paper Young Kyun Jang
[ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? [Paper] [ICML'21 Project] PyTorch Implementation T
On-device speech-to-index engine powered by deep learning.
On-device speech-to-index engine powered by deep learning.
Traingenerator 🧙 A web app to generate template code for machine learning ✨
Traingenerator 🧙 A web app to generate template code for machine learning ✨ 🎉 Traingenerator is now live! 🎉
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.
A ray tracing render implemented using Taichi language.
A ray tracing render implemented using Taichi language.
AbelNN: Deep Learning Python module from scratch
AbelNN: Deep Learning Python module from scratch I have implemented several neural networks from scratch using only Numpy. I have designed the module
Q-Tracker is originally a High School Project created by Admins of Cirus Lab.
Q-Tracker is originally a High School Project created by Admins of Cirus Lab. It's completly coded in python along with mysql.(Tkinter For GUI)
Test symmetries with sklearn decision tree models
Test symmetries with sklearn decision tree models Setup Begin from an environment with a recent version of python 3. source setup.sh Leave the enviro
Tools for Optuna, MLflow and the integration of both.
HPOflow - Sphinx DOC Tools for Optuna, MLflow and the integration of both. Detailed documentation with examples can be found here: Sphinx DOC Table of
Tool which allow you to detect and translate text.
Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr
A Python 3.6+ package to run .many files, where many programs written in many languages may exist in one file.
RunMany Intro | Installation | VSCode Extension | Usage | Syntax | Settings | About A tool to run many programs written in many languages from one fil
This is a text summarizing tool written in Python
Summarize Written by: Ling Li Ya This is a text summarizing tool written in Python. User Guide Some things to note: The application is accessible here
A learning-based data collection tool for human segmentation
FullBodyFilter A Learning-Based Data Collection Tool For Human Segmentation Contents Documentation Source Code and Scripts Overview of Project Usage O
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
Documentation OWPHydroTools GitHub pages documentation Motivation We developed OWPHydroTools with data scientists in mind. We attempted to ensure the
A Simple Framwork for CV Pre-training Model (SOCO, VirTex, BEiT)
A Simple Framwork for CV Pre-training Model (SOCO, VirTex, BEiT)
Learning-based agent for Google Research Football
TiKick 1.Introduction Learning-based agent for Google Research Football Code accompanying the paper "TiKick: Towards Playing Multi-agent Football Full
A pytorch-based real-time segmentation model for autonomous driving
CFPNet: Channel-Wise Feature Pyramid for Real-Time Semantic Segmentation This project contains the Pytorch implementation for the proposed CFPNet: pap
Code for EMNLP2021 paper "Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training"
VoCapXLM Code for EMNLP2021 paper Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training Environment DockerFile: dancingso
Code for "Learning Graph Cellular Automata"
Learning Graph Cellular Automata This code implements the experiments from the NeurIPS 2021 paper: "Learning Graph Cellular Automata" Daniele Grattaro
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search paper | website One Proxy Device Is Enough for Hardware-Aware Neural Architec
Deep-learning X-Ray Micro-CT image enhancement, pore-network modelling and continuum modelling
EDSR modelling A Github repository for deep-learning image enhancement, pore-network and continuum modelling from X-Ray Micro-CT images. The repositor
NLP Overview
NLP-Overview Introduction The field of NPL encompasses a variety of topics which involve the computational processing and understanding of human langu
Deep Learning Algorithms for Hedging with Frictions
Deep Learning Algorithms for Hedging with Frictions This repository contains the Forward-Backward Stochastic Differential Equation (FBSDE) solver and