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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

alpr_ssd_ctpn_lprnet

Automatic License Plate Recognition with SSD Plate Detection + CTPN Text Detection + License Plate Recognition via Deep Neural Networks

aps

Automatic Parking System

awesome-ai4proteinconformation-md

List of protein conformations and molecular dynamics using generative artificial intelligence and deep learning

awesome-biomolfold

RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding

awesome-deep-learning-single-cell-papers

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models

awesome-ggplot2

A curated list of awesome ggplot2 tutorials, packages etc.

awesome-incremental-learning

Awesome Incremental Learning

awesome-interpretability-in-large-language-models

This repository collects all relevant resources about interpretability in LLMs

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-r-learning-resources

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

awesome-scientific-language-models

A Curated List of Language Models in Scientific Domains

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

bioinformatics-bio331

An Introductory Undergraduate course in Bioinformatics

bioinformatics-training-collection

Collection of bioinformatics training materials

chemcrow-public

Chemcrow

conference-acceptance-rate

Acceptance rates for the major AI conferences

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

data_preprocessing

Pre-processing input data for training Deep Neural Networks

deep_brain_signet

dsfd

Drill Sound Failure Detection

easymicrobiomer

Using R language in microbiome analysis

fruit-api

A Universal Deep Reinforcement Learning Framework

fruit-cov

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

getting-started-with-genomics-tools-and-resources

Unix, R and python tools for genomics and data science