Reinforcement Learning with Q Learning Algorithm
Q learning algorithm is trained on the gym's frozen lake environment.
Reinforcement Learning with Q-Learning Algorithm on gym's frozen lake environment implemented in python
Overview
Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop
Spectral-spatial contrastive clustering (SSCC) Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, and Xiaobo Liu, Large-scale Hyperspectral Image Clusteri
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Source code for deep symbolic optimization.
Update July 10, 2021: This repository now supports an additional symbolic optimization task: learning symbolic policies for reinforcement learning. Th
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This is the official code for the paper "Tracker Meets Night: A Transformer Enhancer for UAV Tracking".
SCT This is the official code for the paper "Tracker Meets Night: A Transformer Enhancer for UAV Tracking" The spatial-channel Transformer (SCT) enhan
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TorchX: A PyTorch Extension Library for More Efficient Deep Learning
TorchX TorchX: A PyTorch Extension Library for More Efficient Deep Learning. @misc{torchx, author = {Ansheng You and Changxu Wang}, title = {T
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Jupyter notebooks for using & learning Keras
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MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python
Digital Image Processing Python MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python TO-DO: Refactor scripts, curren
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An off-line judger supporting distributed problem repositories
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Implemented fully documented Particle Swarm Optimization algorithm (basic model with few advanced features) using Python programming language
Implemented fully documented Particle Swarm Optimization (PSO) algorithm in Python which includes a basic model along with few advanced features such as updating inertia weight, cognitive, social lea
9 Nov 29, 2022
Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)
Install first pip3 install -e . Training python3 training/unsupervised_tuning.py python3 training/supervised_tuning.py python3 training/multilingual_
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MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
494 Jan 06, 2023
An onlinel learning to rank python codebase.
OLTR Online learning to rank python codebase. The code related to Pairwise Differentiable Gradient Descent (ranker/PDGDLinearRanker.py) is copied from
5 Jul 18, 2022
NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
Climate Modeling with Neural Diffusion Equation Introduction This is the repository of our accepted ICDM 2021 paper "Climate Modeling with Neural Diff
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Ground truth data for the Optical Character Recognition of Historical Classical Commentaries.
OCR Ground Truth for Historical Commentaries The dataset OCR ground truth for historical commentaries (GT4HistComment) was created from the public dom
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Recovering Brain Structure Network Using Functional Connectivity
Recovering-Brain-Structure-Network-Using-Functional-Connectivity Framework: Papers: This repository provides a PyTorch implementation of the models ad
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A 2D Visual Localization Framework based on Essential Matrices [ICRA2020]
A 2D Visual Localization Framework based on Essential Matrices This repository provides implementation of our paper accepted at ICRA: To Learn or Not
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Efficiently Disentangle Causal Representations
Efficiently Disentangle Causal Representations Install dependency pip install -r requirements.txt Main experiments Causality direction prediction cd
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This is 2nd term discrete maths project done by UCU students that uses backtracking to solve various problems.
Backtracking Project Sponsors This is a project made by UCU students: Olha Liuba - crossword solver implementation Hanna Yershova - sudoku solver impl
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N-gram models- Unsmoothed, Laplace, Deleted Interpolation
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Deformable DETR is an efficient and fast-converging end-to-end object detector.
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
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Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Core ML Tools Use coremltools to convert machine learning models from third-party libraries to the Core ML format. The Python package contains the sup
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