Thalles Silva

SimCLR. PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

deeplab_v3. Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

PyTorch-BYOL. PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

blog-resources. This repo will contain the resources available in my blog for learning

face-similarity. Face-similarity CNN using Tensorflow Eager execution.

SimCLR-tensorflow. TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

cnn_denoiser. Jupyter Notebook

fishers-linear-discriminant. Implementation of Fisher's Linear Discriminant (LDA)

tensorflow2.0-papis-workshop. Jupyter Notebook

dense-net. Tensorflow implementation of Densely Connected Convolutional Networks - DenseNet

CLoVE. Official PyTroch implementation for Self-supervised Learning of Contextualized Local Visual Embeddings (CLoVE)

sthalles.github.io. SCSS

MaSSL. Official PyTroch implementation for Learning from Memory: A Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features

carp. Official PyTorch implementation of Representation Learning via Consistent Assignment of Views over Random Partitions (CARP)

vision-transformer. PyTorch Vision Transformer Implementation

sop. Official implementation of Self-Organizing Visual Prototypes for Non-Parametric Representation Learning (SOVE)

logistic-regression. Jupyter Notebook

PIRL. TensorFlow implementation of Self-Supervised Learning of Pretext-Invariant Representations - PIRL

moco. PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

computer-vision. Jupyter Notebook

aerial-image-segmentation. Python

PyContrast. PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

asynchronous-advantage-actor-critic. Python

dinov2. Jupyter Notebook

tensorflow-tutorials. Tensorflow Colab Notebooks used for training.

resume. my resumes

xor-lstm. Build an LSTM model for learning the XOR function.