Stars
A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.
An Awesome Collection of Urban Foundation Models (UFMs).
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
Repo for EMNLP23 paper "GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding"
DeepSeek-VL: Towards Real-World Vision-Language Understanding
TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
Model components of the Llama Stack APIs
A computer vision pipeline for exploring and analyzing images at scale
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
Official implementation of the paper "Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs"
[EMNLP 2024 Findings] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - …
DeepSeek Coder: Let the Code Write Itself
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
Contrastive Trajectory Similarity Learning with Dual-Feature Attention (TrajCL) - ICDE 2023
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等
PyTorch implementation of HashedNets
Implementation of Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems