tiagobotari's Stars
SheffieldML/GPy
Gaussian processes framework in python
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
omerbsezer/AIMap
Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..
cramerlab/boxnet
BoxNet implemented in TensorFlow and all current training data
yulunzhang/RDN
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
czbiohub-sf/noise2self
A framework for blind denoising with self-supervision.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
ankurhanda/gvnn
gvnn: Geometric Vision with Neural Networks
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
cfusting/fast-symbolic-regression
Blazing fast symbolic regresison
vyastreb/ElectrostaticRepulsionMesher
Generates a particle distribution and an associated Delaunay triangulation based on a grayscale image field (could be an error estimator)
yastn/yastn
Yet another symmetric tensor network
henrikbostrom/crepes
Conformal classifiers, regressors and predictive systems
debtanu177/CVAE_MNIST
Conditional VAE using CNN on MNIST in PyTorch
ritchieng/deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
google-research/e3x
E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
AIforGreatGood/charge3net
Higher-order equivariant neural networks for charge density prediction in materials
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
saugatkandel/fast_smart_scanning
Fast Autonomous Scanning Toolkit
anyoptimization/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.