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adaboosting

AdaBoost Algorithm implementation with python

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

artificial-intelligence

Related projects with Artificial Intelligence algorithms

associationrules

Apriori Algorithm implementation for unsupervised learning

aws

AWS related projects

benchmarking-gnns

Repository for benchmarking graph neural networks

coco_dataset_generator

This script generate the masked images from COCO annotation to be used for MaskRCNN models.

data-analysis_with_r-201801

Primeiro semestre de 2018 (Turma 2)

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dhsegment

Generic framework for historical document processing

english2cypher

A model to transform english into Cypher queries, based off the CLEVR-graph dataset

feature-propagation

gem

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

greaselm

[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

imageclassification-cnn

Image Classification applying Convolution Neural Net with Keras and Tensorflow

kgemb

Hyperbolic Knowledge Graph embeddings.

logitnorm_ood

Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

lula

Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).

manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

neural_prophet

NeuralProphet - a Neural Network based Time-Series model

node2vec

Implementation of the node2vec algorithm.

pyprof

A GPU performance profiling tool for PyTorch models

pystiche

Framework for Neural Style Transfer (NST) built upon PyTorch