Stars
Code for paper "A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings"
A final sanity checklist to help your CS paper get accepted, not desk rejected.
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
The source code used for self-supervised taxonomy expansion method TaxoExpan, published in WWW 2020
Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
Isaac Gym Reinforcement Learning Environments
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Papers about explainability of GNNs
[SIGGRAPH'24] CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
Curated list of datasets and tools for post-training.
NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Learn Low Level Design (LLD) and prepare for interviews using free resources.
Tips and resources to prepare for Behavioral interviews.
Learn System Design concepts and prepare for interviews using free resources.
Beautiful icons for your favourite terminal apps like Hyper and iTerm2