Stars
Making Protein Design accessible to all via Google Colab!
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Python package for graph neural networks in chemistry and biology
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
generate MNIST using a Variational Autoencoder
Let's train vision transformers (ViT) for cifar 10 / cifar 100!
An implementation of Grad-CAM with keras
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Im…
A Python implementation of the DICOM networking protocol
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Generative image model with learned similarity measures
A wizard's guide to Adversarial Autoencoders
Official Python client for accessing ChEMBL API
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Plausibility checks for generated molecule poses.
Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
Object Detection with Faster R-CNN in Chainer