Stars
Implementing Face Beautification: Beyond Makeup Transfer (https://www.catalyzex.com/paper/arxiv:1912.03630)
Implementing Component Attention Guided Face Super-Resolution Network: CAGFace (https://www.catalyzex.com/paper/arxiv:1910.08761)
Implementing Digital Twin: Acquiring High-Fidelity 3D Avatar from a Single Image (https://www.catalyzex.com/paper/arxiv:1912.03455)
A python library for simple text summarization
TensorFlow's Visualization Toolkit
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Low-code framework for building custom LLMs, neural networks, and other AI models
Provide an input CSV and a target field to predict, generate a model + code to run it.
A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
curated collection of papers for the nlp practitioner 📖👩🔬
A repository to curate and summarise research papers related to fashion and e-commerce
Content-based Clothing Image Retrieval Using Deep Features
Repository for the open-unmix JOSS submission
Authorization service and frontend for Docker registry (v2)
Model interpretability and understanding for PyTorch
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognit…
Cloud9 is a Hadoop toolkit for working with big data
Python libraries for Google Colaboratory
The PDF::Reader library implements a PDF parser conforming as much as possible to the PDF specification from Adobe.
Deep neural network framework for multi-label text classification
A topic-centric list of HQ open datasets.
An experimental code editor for writing algorithms
Module for automatic summarization of text documents and HTML pages.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)