A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
Repository Index
47,133 repositories indexed
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GitHub repository for official ILIAS release branches and development branches (trunk)
- hacktoberfest
- php
- lms
- ilias
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
- ai
- ruby-fann
- ruby-gem
- neural-network
A GPU implementation of Convolutional Neural Nets in C++
AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)
A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
- arithmetic
- integer-arithmetic
- fixed-point-arithmetic
- rational-arithmetic
A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
:rainbow: discover the beautiful programming language that makes front-end web apps a joy to build and maintain!
Fashion Detection in the Wild (Deep Clothes Detector)
- computer-vision
- deep-learning
- clothes-detection
- clothes-detector
Collection of high quality iOS tutorial sites
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
- agent-evaluation
- agentic-ai
- ai-agents
- awesome
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- natural-language-processing
- natural-language-generation
- nlg-dataset
- deep-learning
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
:grey_question: Visual Question Answering in Torch
A comprehensive guide on learning how to code cross platform mobile applications with the Flutter framework, from the ground up.
Deep Learning Library for Single Cell Analysis
- deep-learning
- tensorflow
- instance-segmentation
- cell-biology
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
- pytorch
- memory-networks
- generation
- end-to-end-learning
Language-agnostic pretty-printing through machine learning (uh, like, is this possible? YES, apparently).
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
- go
- golang
- natural-language-processing
- nlp
the best machine learning tutorials on the web
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking