jn-jia

jn-jia's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook36.8k385673.9k

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook25.6k285792.8k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.4k1083561.3k

• snorkel-team/snorkel

  A system for quickly generating training data with weak supervision

  Language:Python5.8k167980860

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.5k4778603

• tata1661/FSL-Mate

  FSL-Mate: A collection of resources for few-shot learning (FSL).

  Language:Python1.7k4126289

• gladcolor/LLM-Geo

  Language:Jupyter Notebook25113547

• Esri/raster-deep-learning

  ArcGIS built-in python raster functions for deep learning to get you started fast.

  Language:Python187262287

• Harry3W/Data-Analysis

  史上最全Python数据分析资料

  1723058

• alibaba/multiple-cameras-and-3D-LiDARs-extrinsic-calibration

  This repo contains source code of our paper presented in IROS2021 "Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs"

  Language:C++1616125

• vasgaowei/TS-CAM

  Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

  Language:Jupyter Notebook13741925

• CV-ZhangXin/LDConv

  Language:Python682132

• jgornet/predictive-coding-recovers-maps

  64103

• Junjue-Wang/EarthVQA

  [AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

  Language:Python622153

• prs-eth/graph-super-resolution

  [CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution

  Language:Python51378

• rohinmanvi/GeoLLM

  Language:HTML43125

• tgrippa/Dasymetric_mapping_using_GRASSGIS

  Python script (Jupyter notebook) for modeling of population densities

  Language:Jupyter Notebook122111

• jvargasmu/population_estimation

  [SC2023] POMELO: Fine-grained Population Mapping from Coarse Census Counts and Open Geodata

  Language:Python90

• Bingbo-Gao/TPML

  The method puts forward a new way to integrate the spatial autocorrelation law and property similarity principle into one in a unified machine learning method.

  82

• cran/mgwrsar

  :exclamation: This is a read-only mirror of the CRAN R package repository. mgwrsar — GWR and MGWR with Spatial Autocorrelation

  Language:R53

• BlasBenito/spatialRF_talk

  Talk about incorporating spatial autocorrelation into random forest models

  Language:JavaScript3101

• Foooool/GradientGuidedNetwork

  Language:Jupyter Notebook3

• jamesdamillington/spar

  Spatial Autocorrelation and Regression

  Language:Jupyter Notebook3300

• jorgeassis/spatialAutocorrelation

  Reducing spatial autocorrelation in Species Distribution Models

  Language:R3210

• rmaestre/spatial-autocorrelation

  A spatial autocorrelation to study home intrusions

  320

• archive-cs-minhyuk/Distribution-learning

  Pytorch Implementation of Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment

  Language:Python2

• Urban-Analytics-Technology-Platform/geollm

  Language:Python2201

• JTSALAH/Thrush-Spatial-Regression-Modeling

  This script looks to account for spatial autocorrelation in a spatial regression modeling through various methods, including trend surface modeling and eigenvector mapping!

  Language:HTML1100

• Wen-Zeng/Areal-Interpolation

  Language:R11

• Zxh1024/DConvLSTM

  Language:Python120