arboreto
K-Dense-AI
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…
OPENAGENTSKILL / DIRECTORY
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Results: 93
K-Dense-AI
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…
jik876
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
alfredfrancis
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
r9y9
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
chelsea0x3b
Deep learning in Rust, with shape checked tensors and neural networks
szilard
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
victordibia
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
seashell
☁️ Securely connect anything with WireGuard® and manage all your networks from a single place.
foryourhealth111-pixel
Unified biological database evidence owner. Use for gene annotation, variant clinical significance, cancer mutation evidence, GWAS trait associations, pathway mapping, t…
opencobra
COBRApy is a package for constraint-based modeling of metabolic networks.
johnnyxmas
A script for credentials-based attack surface enumeration and general reconnaissance of massive networks
vlang
V library to develop Artificial Intelligence and High-Performance Scientific Computations
aide-family
Moon is a versatile monitoring and alerting platform designed for multiple domains, supporting various application scenarios such as cloud-native, Internet of Things (Io…
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