debajyotidatta

pytorch_geometric

Graph Neural Network Library for PyTorch

numpy-100

100 numpy exercises (with solutions)

catalyst

Accelerated deep learning R&D

OpenBot

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 supports advanced robotics workloads such as person following and real-time autonomous navigation.

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

alibi

Algorithms for explaining machine learning models

pet

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

multiwoz

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

DIM

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

Multimodal-Toolkit

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

trade-dst

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

Poe

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

PracticalSessions2020

Repository for tutorial sessions at EEML2020

deterministic-uncertainty-quantification

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

Manifold-Learning

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

mnist1d

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

robustdg

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

hyperbolic-learning

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

expRNN

Optimization with orthogonal constraints and on general manifolds

UST

Uncertainty-aware Self-training

reproducible-tensor-completion-state-of-the-art

LO-Shot

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

Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLP

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

GansFallingShort

Code for "Language GANs Falling Short"

fisher-information-matrix

PyTorch implementation of FIM and empirical FIM

Module-1

Module 1 - Autodifferentiation

Geometry-Reading-list

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 vision.

pgm_ammi

Practical sessions for the probabilistic graphical models class of AMMI.

AnnotationModel

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

TextWorld-Neural-Algorithmic-Reasoning