anisiolacerda's repositories
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-Noisy-Labels
A Survey
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
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.
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
Grokking the Coding Interview: Patterns for Coding Questions Alternative
human-centered-machine-learning
Schedule and Syllabus for Human-Centered Machine learning.
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
memorizing-transformers-pytorch
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
RMPH_Resources
Datasets and scripts needed for Introduction to Regression Methods for Public Health Using R
salient_imagenet
Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
score_inverse_problems
Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
SMLW-Causality-Tutorial
Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Workshop on Deep Learning and Reinforcement Learning.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
vit-pytorch-1
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers