260 skills found · Page 1 of 9
obsei / ObseiObsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
benfulcher / HctsaHighly comparative time-series analysis
KEV0143 / Comparative Analysis Of Hourly Load Forecasting Using PatchTST TFT NHiTS And CatBoostA comprehensive time-series benchmark evaluating state-of-the-art deep learning architectures (PatchTST, TFT, N-HiTS) against traditional gradient boosting (CatBoost) for accurate 24-hour load prediction.
DynamicsAndNeuralSystems / PyspiComparative analysis of pairwise interactions in multivariate time series.
sharmaroshan / Statistics For Data ScienceLearning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
hatchet / HatchetAnalyze graph/hierarchical performance data using pandas dataframes
khyox / RecentrifugeRecentrifuge: robust comparative analysis and contamination removal for metagenomics
VirtualRoyalty / PointCloudSegmentationThe research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
merialdo / Research.lpcaThis project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddings for Link Prediction: A Comparative Analysis" (https://arxiv.org/abs/2002.00819). Principal contributor: ANDREA ROSSI (https://github.com/AndRossi)
paplhjak / Facial Age Estimation BenchmarkComparative Analysis of Deep Learning Approaches for Facial Age Estimation. Accepted to CVPR 2024
LoheshM / Comparative Analysis Of Reinforcement Learning Models For Lane Change Decision MakingIntelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CARLA simulator. Enhances safety and efficiency through informed decision-making in dynamic traffic scenarios.
SnehJain / Deep Neural Networks For Stock Price PredictionComparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction
JeCase / LoadElectricity Forecasting CNN BiLSTM AttentionPerformed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
barahona-research-group / HcgaHighly Comparative Graph Analysis - Code for network phenotyping
azavea / Geowave Geomesa Comparative AnalysisThis repository will host files and issues around the comparative analysis of GeoWave and GeoMesa
liaochenlanruo / PgcgapThe Prokaryotic Genomics and Comparative Genomics Analysis Pipeline
carlosholivan / MusicBoundariesCNNCode of the paper "Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features" in Pytorch
moshi4 / MGCplotterMicrobial Genome Circular plotting tool for comparative genomics using Circos
Amey-Thakur / TEXT SUMMARIZERMachine Learning Project to Compare and Evaluate Text Summarization Algorithms Using SpaCy, NLTK, Gensim, and Sumy.
