Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
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Optimising chemical reactions using machine learning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Quantitative Economics
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
The repository host gives no description.
TensorFlow Lite models for MIRNet for low-light image enhancement.
General Modeling Network Specification
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
GeneCompass
A TensorFlow implementation of the Mnemonic Descent Method.
How to create a Cartoonizer Android app with TensorFlow Lite models.
Integrated pipeline for multiplexed image analysis
This repository is to create tflite models for the available ocr models
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
tutorials made for biologists to learn deep learning
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
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
Compilado de recursos sobre Computação Quântica em português
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Detecting cancers on mobile phones
Docker container for Kafka - Spark Streaming - Cassandra
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.