DerryD

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

MobileVLM

Strong and Open Vision Language Assistant for Mobile Devices

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

STTN

paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

TrGNN

Traffic Flow Prediction with Vehicle Trajectories

Tensorflow-Project-Template

A best practice for tensorflow project template architecture.

STGCN_IJCAI-18

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

heteta

HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival

M2GRL

A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

RankNet

My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.

LambdaRankNN

LambdaRank Neural Network model using Keras.

tensorflow-LTR

Tensorflow implementations of various Learning to Rank (LTR) algorithms.

CityFlow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

RecommenderSystems

mtlearn

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

DeepInterestNetwork

DSIN

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

ranking

Learning to Rank in TensorFlow

LambdaMart

Python implementation of LambdaMart

XGBoost-lambdaMART

Running LambdaMART using XGBoost

pyltr

Python learning to rank (LTR) toolkit

pyTSP

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

pickup-delivery-vrp

Naive branching implementation of a specific pick-up and delivery vehicle routing optimization problem.

tsp-bb

Implementation of branch-and-bound for TSP in C++

linprog

Linear Programming in Short

tsppddl

The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits

VRPH

VRPH is an open source library of heuristics for the capacitated Vehicle Routing Problem (VRP).