tutorials made for biologists to learn deep learning
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tutorials made for biologists to learn deep learning
TranslatedA tiny Transformer built from scratch in PyTorch, with an English-to-Chinese translation demo | A small Transformer implemented from scratch with PyTorch, with an English-to-Chinese translation demo, to help understand how the model works
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Mobile Deep Learning Projects, published by Packt
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
The repository host gives no description.
This is the github repository for converting craft pretrained model to tflite version
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
Better Python Stacktraces with power of AI.