Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
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Reference mapping for single-cell genomics
Presentations from H2O meetups & conferences by the H2O.ai team
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Implementation of various topic models
Deep Reinforcement Learning for de-novo Drug Design
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
Fusing Histology and Genomics via Deep Learning - IEEE TMI
An OCaml kernel for Jupyter (IPython) notebook
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
A tensorflow implementation of an HMM layer
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Open source remote sensing dataset with benchmarks
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.
Python for chemoinformatics
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
scPerturb: A resource and a python/R tool for single-cell perturbation data
ChatGPT Python Applications integrated with third party libraries and modules
Breaking captchas using torch
Repository for Nicheformer: a foundation model for single-cell and spatial omics
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This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.