okason97

digimon-tcg-simulator

ema-pytorch

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model

accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Awesome-SLP

A curated list of awesome work on Sign Language Production

ProgressiveTransformersSLP

Source code for "Progressive Transformers for End-to-End Sign Language Production" (ECCV 2020)

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

LSA-T

lsa64_nn

Experiments for the article "A Comparison of Neural Networks for Sign Language Recognition with LSA64" (JCC 2021)

stable-diffusion

A latent text-to-image diffusion model

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

proyecto2019

Proyecto de investigación y desarrollo con alumnos. Detección de atributos faciales.

SelectionGAN

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Boundless-in-Pytorch

Boundless: Generative Adversarial Networks for Image Extension in Pytorch

imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

aa2020unlp-covid-19-xray

Kaggle Challenge to Classify Covid Pneumonia Xray

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

STONK

Stocks Trading Optimized Network Knowledge

BigGAN-Tensorflow

Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)

spectral_normalization-tf2

🌈 Spectral Normalization implemented as Tensorflow 2

netron

Visualizer for neural network, deep learning and machine learning models

small-dataset-image-generation

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

toys

tf2-tools

Scripts and utilities for training and testing models, datasets splitting and more! All written in tf2

keras-surgeon

Pruning and other network surgery for trained Keras models.

CNNDetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

deep-learning-training-gui

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

pythontex

A LaTeX package that executes Python and other code in LaTeX documents, and includes the output

multicastRMI

multicast RMI Run multiple servers and get multiple asynchronic answers