Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
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Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Implementation of various topic models
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
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
This repository is a collection of TTS Models in TFLite
scPerturb: A resource and a python/R tool for single-cell perturbation data
ChatGPT Python Applications integrated with third party libraries and modules
openvino version of openai/whisper
Repository for Nicheformer: a foundation model for single-cell and spatial omics
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
⬛ Python Individual Conditional Expectation Plot Toolbox
Optimising chemical reactions using machine learning