An ML framework to accelerate research and its path to production.
Multi Model Server (MMS) is a flexible and easy to use tool for serving deep learning models trained using any ML/DL framework.
This repo is about face recognition and triplet loss. I trained that model with TensorFlow 2.0 and I used Casia-WebFace as dataset.
This projects extends pytorch/fairseq with Transformer-based image captioning models. It is still in an early stage, only baseline models are available at the moment.
Ganzo is a framework to implement, train and run different types of GANs, based on PyTorch.
It includes LSH attention, reversible network, and chunking. It has been validated with an auto-regressive task (enwik8).
PyTorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CVPR 2019
DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters).
Python scripts to parse your Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.
This project is intended to showcase the usage of a Keras multi-output model to predict age, gender and ethnicity from a given persons face.
Once for All: Train One Network and Specialize it for Efficient Deployment.
Poetry helps you declare, manage and install dependencies of Python projects, ensuring you have the right stack everywhere.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Code, model and data of DeeperForensics-1.0 will be made publicly available here.
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
MatrixNetis a scale and aspect ratio aware deep learning architecture for object detection.
This is the third in a series of tutorials I'm writing about implementing cool models on your own with the amazing PyTorch library.
The code is an unofficial pytorch implementation of SOLO: Segmenting Objects by Locations
This is a tool for interacting with images generated by a StyleGAN model.
HybridPose consists of intermediate representation prediction networks and a pose regression module.
A general 3D Object Detection codebase in PyTorch
GlyphNet is an experiment in using neural networks to generate a visual language. This project is inspired by Joel Simon's Dimensions of Dialogue.
It allows researchers without machine learning or coding expertise to run supervised machine learning analysis through a clean web interface.