Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
Repository Index
47,133 repositories indexed
409–432 of 453 · Most stars
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
- ddi
- drug-synergy
- synergy-prediction
- deep-chemistry
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi
- deep-learning
- delphi
- machine-learning
- pascal
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks
:mega: Python library for audio augmentation
Neural Network for Go.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
A group of neural-network libraries for functional and mainstream languages
- neural-network
- machine-learning
- functional-programming
- javascript
Unsupervised Image to Image Translation with Generative Adversarial Networks
- tensorflow
- tensorlayer
- deep-learning
- image-to-image
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
- deep-learning-library
- dynamic-batching
- nlp
Personalized machine learning on the smartphone
- on-device
- deep-learning
- sensor-fusion
- activity-recognition
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
- fine-tuning
- vgg16
- resnet18
- densenet121
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
A curated dataset of malware and benign Windows executable samples for malware researchers
- machine-learning
- deep-learning
- malware-research
- malware-detection
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
- keras
- keras-neural-networks
- pascal
- delphi
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
- deep-learning
- plant-phenotyping
- nextflow
- scikit-image
An Easy To Use PyTorch Computer Vision Library
- computer-vision
- deep-learning
- pytorch
- pytorch-lightning
Mobile Deep Learning Projects, published by Packt