CarlosGG AI notes

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CarlosGG AI notes

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AI

Causality

Causal Inference

Causality for time series

Uplift modelling

Computer Vision

Background subtraction

Computer Vision

Deep Computer Vision

Deep image prior

Image and video captioning

Image-to-image translation

Inpainting and restoration

Object classification, image recognition

Object detection

Semantic segmentation

Super-resolution

Traditional Computer Vision (CV) techniques

Video Frame Interpolation

Video segmentation and prediction

Data Engineering

Cloud platforms

Data Engineering and Computer Science

Distributed Deep learning

Machine Learning Operations (MLOps)

Tensorflow, Keras

Data Science

Data science applications

Embeddings and text representations

Recommender systems and semantic search

Deep Learning

Capsule Neural networks (CapsNets)

Convolutional Neural Networks (CNNs)

Deep belief network

Diffusion models

Deep Learning (DL)

Encoder-decoder networks

Explainability methods for NNs

Fourier Neural Operator (FNO)

Generative Adversarial Networks (GANs)

Geometric deep learning

Graph neural networks (GNNs)

Gated Recurrent Units (GRUs)

Implicit Neural Representations

Long Short-Term Memory networks (LSTMs)

Multilayer perceptrons (MLPs)

Multimodal learning

Neural Cellular Automata

Neural Ordinary Differential Equations

Neural processes

Normalizing flows

Probabilistic deep learning

Reservoir computing

Residual and dense neural networks

Recurrent Neural Networks (RNNs)

Generative AI

GenAI for audio

GenAI for tabular data

GenAI for time series modelling

LLMs and knowledge graphs

LLMs evaluation

LLMs training and tuning

Prompt engineering

Retrieval Augmented Generation (RAG)

Small Language Models (SLMs)

Vision Language Models (VLMs), GenAI for CV

Math and Statistics

Math and Statistics

Mathematical Optimization

Monte Carlo methods

Probability Theory

Singular Value Decomposition (SVD)

Supervised Learning

Class imbalance

Data augmentation

Ensemble learning

Feature selection

Gaussian Process

Gradient boosting

Model selection and tuning

Model validation and drift

Regularized regression

Supervised Learning

Time Series

Time series analysis

XAI for time series

Unsupervised Learning

Dimensionality reduction and low-rank modeling

Principal component analysis (PCA)

Sparse dictionary learning

Unsupervised learning

CarlosGG's AI Knowledge Garden 🪴

Active learning

AI for scientific discovery

Artificial Intelligence (AI)

Anomaly and Outlier Detection

Automated planning

Bayesian modelling

Evolutionary computation

Feature learning

Federated learning

Knowledge representation and reasoning

Learning to rank

Machine Learning (ML)

Multi-task learning

Neuro-symbolic AI

Natural Language Processing (NLP)

One, few-shot learning

Problem Solving and Search

Quantum Machine Learning (QML)

Reinforcement learning (RL)

Self-supervised learning

Semi-supervised learning

Transfer learning

Weakly supervised learning

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Image and video captioning

References

#PAPER Show and Tell: A Neural Image Caption Generator (Vinyals 2015)
#PAPER Deep Visual-Semantic Alignments for Generating Image Description
- http://cs.stanford.edu/people/karpathy/deepimagesent/
#PAPER Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation
#PAPER Sequence to Sequence--Video to Text
#PAPER Describing Videos by Exploiting Temporal Structure (Yao 2015)
#PAPER 3G structure for image caption generation (Yuan 2018)
#PAPER #REVIEW A Systematic Literature Review on Image Captioning (Staniute 2019)
#PAPER #REVIEW Survey of convolutional neural networks for image captioning (Kalra 2020)

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Deep Computer Vision

Convolutional Neural Networks (CNNs)