jpafcampos's Stars
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
aleju/imgaug
Image augmentation for machine learning experiments.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
hyunwoongko/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
RManLuo/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
SamLynnEvans/Transformer
Transformer seq2seq model, program that can build a language translator from parallel corpus
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
huawei-noah/trustworthyAI
Trustworthy AI related projects
xunzheng/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
FrancescoSaverioZuppichini/glasses
High-quality Neural Networks for Computer Vision 😎
gupta-abhay/setr-pytorch
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
nagdevAmruthnath/Predictive-Maintenance
A notebook tutorial series for performing predictive maintenance using machine learning
adambielski/pytorch-gconv-experiments
Experiments with Group Equivariant Convolutions in PyTorch
kevinsbello/dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
adambielski/GrouPy
Group Equivariant Convolutional Neural Networks
camlaedtke/segmentation_pytorch
Simple image segmentation pipeline in pytorch, using HRNet and SegFormer models
cmu-phil/py-tetrad
Makes algorithms/code in Tetrad available in Python via JPype
juangamella/ges
Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search" by David Maxwell Chickering.
Lodz97/Multi-Agent_Pickup_and_Delivery
Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path Finding).
quentinf00/article-memory-log
Implémentation of the article **Deep Learning CUDA Memory Usage and Pytorch optimization tricks**
Pieter-Cawood/M-TA-Prioritized-MAPD
Multi-Agent Pickup and Delivery implementation
eberharf/fges-py
Escavador/pymetaphone-br
Pacote do algoritmo Metaphone para a língua portuguesa
LaSTUS-TALN-UPF/Syntax-Aware-Transformer-Text2Gloss
This repository contains the code of the experiments reported in the paper "Syntax-aware Transformers for Neural Machine Translation: The Case ofText to Sign Gloss Translation". This paper was accepted for the Workshop BUCC2021 in the conference RANLP 2021.