Victor Machado's repositories
CoolConvNN
Complete, simple and cool convolutional neural network framework, built from scratch, parallel able with OpenMP and almost dependency free. Supports custom architectures.
multimodal-intent-classification
Multimodal intent classification with incomplete modalities using text embedding propagation
SupervisedContrastiveLossTF2
The supervised contrative loss for TensorFlow, based on: https://github.com/HobbitLong/SupContrast
Pure-JAX-Transformer
An excuse to learn Jax
GATv2-TensorFlow2
The GATv2 https://arxiv.org/pdf/2105.14491.pdf implementation on TensorFlow
MeekSpeak-Crypto
Mini Crypto and big number suite with x25519 and AEAD_ChaCha20 (RFC7748 and RFC 7539).
Applied-Deep-Learning
Applied Deep Learning
contrastive_loss
Experiments with supervised contrastive learning methods with different loss functions
covid_mask_detector
This project aims to, both, detect masks in a human face using a CNN, in a image of a public area, that may serve as sensor for the Corona Virus state in that region, and avaliating the impact of the use of image processing techniques in the data set of this problem, such as accuracy difference, cost/benefit ratio.
gsoc-wav2vec2
GSoC'2021 | TensorFlow implementation of Wav2Vec2
IEMOCAP_EMOTION_Recognition
Emotion recognition from IEMOCAP datasets.
labs_expansion_challenge
The proposed challenge aims to help the business of a North American network of diagnostic medicine for the initial inputs for your project laboratory network expansion plan. It is known that it is not possible or very difficult to generate demand and make offers in this type of market, however it is very interesting and profitable customer loyalty so that they always visit the network when a need arises.
merlot_reserve
Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound"
minRLHF
A (somewhat) minimal library for finetuning language models with PPO on human feedback.
multimodal-datasets
Multimodal datasets.
openalexnet
OpenAlex Networks is a helper library to process and obtain data from the OpenAlex dataset via API. It also provides functionality to generate citation and coauthorship networks from queries.
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Pytorch-VAE-tutorial
A simple tutorial of Variational AutoEncoders with Pytorch
TPN-pytorch
Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
Wav2Vec-Wrapper
An easy way to fine-tune Wav2Vec 2.0 for low-resource languages.