joaomonteirof

hGAN

Hyper volume maximization for GAN training

e2e_antispoofing

e2e_antispoofing

e2e_verification

E2E Verification

multitask_asv

Combined loss for ASV

SMART_COUSP_Reconstruction

Video samples Recosntruction from CUP space

pase_voxceleb

Speaker verification with PASE encoder

adv_detec

Detection of adversarial attacks

combined_loss

Combining MLE with metric learning

dcase

DCASE code

sensed_inference

Inference model training for compressed sensing using generative models

monotonicity-mixup

Code of "Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points"

asv_base

Basic setting for ASV

BR41N-IO

Hackathon project

code-bert-score

CodeBERTScore: an automatic metric for code generation, based on BERTScore

cs344

Introduction to Parallel Programming class code

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

e2e_LID

e2e_LID

EvoNN

Evolutionary Algorithms Training of Neural Networks

fish_school_search

Several versions of the Fish School Search algorithm for the solution of benchmark test functions

fv_antispoofing

Antispoofing from vector representations of utterances

github-cheat-sheet

A list of cool features of Git and GitHub.

google-research

Google Research

haven-ai

To Run, Manage and Visualize Large Scale Experiments

hv_mcc

Weighing examples with hypervolume maximization

joaomonteirof.github.io

nips2017-adversarial

orlrworkshop.github.io

ORLR workshop website

sim_learn

Prototypical nets with learned similarity

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

whatsup_vlms

Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".