Tim's repositories
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
ABSADatasets
Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification
antifraud
A repository for financial fraud detection
InstructABSA
Instructional learning for Aspect Based Sentiment Analysis
llama
Inference code for LLaMA models
CAVE-demo
CAVE is a tool for attribute value correction, enrichment, and normalisation in E-commerce.
coding-interview-university
A complete computer science study plan to become a software engineer.
DeepHypergraph
A pytorch library for graph and hypergraph computation.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
FolkScope
Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense
Janus
Janus-Series: Unified Multimodal Understanding and Generation Models
kolibri
Kolibri Learning Platform: the offline app for universal education
llama.cpp
Port of Facebook's LLaMA model in C/C++
multi-view-prompting
Data, code and model for ACL 2023 paper "MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction"
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
natural-instructions
Expanding natural instructions
OpenNMT-kpg-release
Keyphrase Generation
PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
UltraGCN
[CIKM'21] UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation https://arxiv.org/abs/2110.15114
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
woam
Data and code for the ACL 2023 paper "Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach"