Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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- synerise
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Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
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Jupyter's kernel for Elixir programming language
Fusing Histology and Genomics via Deep Learning - IEEE TMI
An OCaml kernel for Jupyter (IPython) notebook
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
Materials for GWU DNSC 6279 and DNSC 6290.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
🏃 The go-to single-cell Foundation Model
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
tutorials made for biologists to learn deep learning
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
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
Graviton: verify your TEAL program by experiment and observation
Display Youtube metrics using Google API and MicroPython
Single Image Random Dot Stereogram for Tensorflow