Framework for evaluating ANNS algorithms on billion scale datasets.
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
A multi-scale energy systems modelling framework
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
This repo includes some graph-based CTR prediction models and other representative baselines.
Code for HCCF model proposed in Self-Augmented Recommendation with Hypergraph Contrastive Collaborative Filtering in SIGIR'2022
Delta project benchmarks
Gurobi modeling examples
MUFIN: Multimodal extreme classification
Extremely simple and fast extreme multi-class and multi-label classifiers.
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Jupyter notebooks for the Natural Language Processing with Transformers book
Parameterized Explainer for Graph Neural Network
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Non-Parametric Calibration for Classification (AISTATS 2020)
pymgrid is a python library to generate and simulate a large number of microgrids.
Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement Learning Algorithms>
Deep Reinforcement Learning for a Two-Echelon Supply Chain with Seasonal Demand
SEML: Slurm Experiment Management Library
The source code of the paper 'Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation'
A collection of research and application papers of (uncertainty) calibration techniques.
An industrial deep learning framework for high-dimension sparse data