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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
simple neural network library in C99
- backpropagation
- genetic-algorithm
- ann
- neural-network
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
- community-detection
- graph-clustering
- deepwalk
- networkx
Clinical Histopathology Imaging Evaluation Foundation Model
Artificial Neural Network
- neural-network
- deep-learning
- classification
- regression
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
- pascal
- lazarus
- delphi
- free-pascal
Fusing Histology and Genomics via Deep Learning - IEEE TMI
- pathomic
- fusion
- multimodal
- pathology
MatAnyone-E: Sparse Memory Propagation for Efficient High-Resolution Video Matting
A Library to parse natural language in pure Clojure and ClojureScript
- natural-language-processing
- clojure
- clojurescript
- pos-tagger
The Automagic Project Planner
- clojure
- project-planning
- artificial-intelligence
A GPU (CUDA) based Artificial Neural Network library
- self-organizing-map
- cuda
- c-plus-plus-11
- propagation-network
A multilayer perceptron network implemented in Go, with training via backpropagation.
A V module to use multi-layer neural networks. Includes backpropagation but you can train them the way you want. If you have any questions or suggestions I'd be happy to read them !
GNN-based gene-selection deep learning model for drug response prediction