apoorvumang
Research Scientist, Adobe Research India. Working on NLP and Multi-modal content
Adobe ResearchBangalore
apoorvumang's Stars
intfloat/SimKGC
ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
gpakosz/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
danfoisy/vdatp
Volumetric Display using an Acoustically Trapped Particle
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
xinguoxia/KGE
Some papers on Knowledge Graph Embedding(KGE)
zhenjia2017/EXAQT
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
overleaf/overleaf
A web-based collaborative LaTeX editor
cmavro/TempoQR
[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs
uma-pi1/dist-kge
rentruewang/koila
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
salesforce/CodeT5
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
nchah/freebase-triples
A methodology to process triples data from the Freebase data dumps.
migalkin/NodePiece
Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)
apoorvumang/CronKGQA
ACL 2021: Question Answering over Temporal Knowledge Graphs
castorini/transformers-arithmetic
jishnujayakumar/MLRC2020-EmbedKGQA
This is the code for the MLRC2020 challenge w.r.t. the ACL 2020 paper Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
allenai/kb
KnowBert -- Knowledge Enhanced Contextual Word Representations
tsafavi/codex
CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
decompositional-semantics-initiative/improved-ParaBank-rewriter
Improved ParaBank Rewriter
facebookresearch/tkbc
A knowledge base completion method which handles temporal metadata
malllabiisc/WordGCN
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
otiliastr/coper
Contextual Parameter Generation for Knowledge Graph Link Prediction
BorealisAI/de-simple
Diachronic Embedding for Temporal Knowledge Graph Completion
dair-iitd/tkbi
VPanjeta/ModiScript
Acche din aa gaye
dair-iitd/OpenIE-standalone
IBM/translucent-answer-prediction
TAP (Translucent Answer Prediction), is a system to identify answers and evidence (in the form of supporting facts) in an RCQA task that requires multi-hop reasoning. TAP comprises two loosely coupled networks, called Local and Global Interaction eXtractor (LoGIX) and the Answer Predictor (AP).
uma-pi1/kge
LibKGE - A knowledge graph embedding library for reproducible research