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academic-kickstart

Easily create a beautiful website using Academic and Hugo

advances-in-label-noise-learning

A curated (most recent) list of resources for Learning with Noisy Labels

ai-deadlines

:alarm_clock: AI conference deadline countdowns

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

algorithms

:computer: Data Structures and Algorithms in Python

anisiolacerda.github.io

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-noisy-labels

A Survey

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

bayeformers

General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.

causal-inference-tutorial

A collection of materials on causal inference.

causation-incomputervision

The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.

corrupting_labels_with_distillation

Code for paper "Label Noise Types and Their Effects on Learning"

csgm-mri-langevin

ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

deepseenet

:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

deformable-attention

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

does_kd

early-glaucoma-identification

ecml-teaching-ml-2021

eye-fundus-image-segmentation

Segmentation vasculature in retinal image

finding-structure-and-causality-in-linear-programs

Official code repository for ICLR 2022 WS OSC Paper.

full-stack-developer-interview-questions-and-answers

A list of helpful full-stack developer related questions you can use to interview potential candidates, test yourself or completely ignore.

grokking-the-coding-interview-patterns-for-coding-questions

Grokking the Coding Interview: Patterns for Coding Questions Alternative

guided-diffusion