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Name: Piyushi Manupriya
Type: User
Company: IIT Hyderabad
Bio: ML student. Google PhD Fellow. Interests: {OT, OPT, SLT, RAI, AI4H}.
Name: Piyushi Manupriya
Type: User
Company: IIT Hyderabad
Bio: ML student. Google PhD Fellow. Interests: {OT, OPT, SLT, RAI, AI4H}.
Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
[ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'
Accelerated Graduated Generalized Linear-model Optimization
Reinforcement learning for medical decisions
A list of awesome papers and cool resources on Kernel Methods applied in Machine Learning!
Implementation of the BanditQ policy described in our UAI 2024 paper (https://www.tifr.res.in/~abhishek.sinha/files/BanditQ_UAI24.pdf)
Learning Single-Cell Perturbation Responses using Neural Optimal Transport
computation of convolutional kernels (CKN and NTK) in C++
Supervised Training of Conditional Monge Maps
CO-Optimal Transport
[NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs
Code for our AISTATS '24 paper: Consistent Optimal Transport with Empirical Conditional Measures.
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Course notes for CS228: Probabilistic Graphical Models.
Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
[ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
Official repository of the ICLR 2024 paper "EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling"(https://arxiv.org/abs/2310.04691)
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Implementation of FedBary
Code for Online Graph Dictionary Learning
GMoE could be the next backbone model for many kinds of generalization task.
Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
Python implementation of group sparse optimal transport
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.