The codes I made while I practiced various TensorFlow examples
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ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
- clinicalbert
- hospital-readmission
- prediction
F# for Jupyter Notebooks
- f-sharp
- jupyter
- jupyter-notebook
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Presentations from H2O meetups & conferences by the H2O.ai team
- h2o
- presentations
- meetups
- h2oai
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
- cwt
- matlab
- cpp
- optimization
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
- ocaml
- functional-programming
- jupyter-kernels
- machine-learning
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Materials for GWU DNSC 6279 and DNSC 6290.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
- tensorflow-2
- tensorflow-lite
- on-device-ml
- model-quantization
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
- probabilistic-programming
- neural-network
- tensorflow
- keras-tensorflow
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.