Reverse engineered API for Quora's Poe - access Claude (Anthropic) and ChatGPT (OpenAI)

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

Algorithms for explaining machine learning models

Graph Neural Network Library for PyTorch

A probabilistic model to recover annotator's behavior and the underlying ground truth

A curated list of resources for Learning with Noisy Labels

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones su…

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

Uncertainty-aware Self-training

A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry with applications to physics, medical imaging and computer visi…

Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

Module 1 - Autodifferentiation

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

PyTorch implementation of FIM and empirical FIM

Repository for tutorial sessions at EEML2020

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

Accelerated deep learning R&D

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Practical sessions for the probabilistic graphical models class of AMMI.

100 numpy exercises (with solutions)

Optimization with orthogonal constraints and on general manifolds

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

Code for "Language GANs Falling Short"