41 Open source projects that are alternatives of or similar to Harmony

Single cell type annotation guided by cell atlases, with freedom to be queer

A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches

An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data

Reference mapping for single-cell genomics

Papers with code for single cell related papers

Clustering scRNAseq by genotypes

Single-cell Hierarchical Poisson Factorization

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

Jetson Nano image with deep learning frameworks

cTPnet Package

R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)

A tool for semi-automatic cell type annotation

BEER: Batch EffEct Remover for single-cell data

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection

Efficient and precise single-cell reference atlas mapping with Symphony

Facial Landmark Detection based on PyTorch

Demultiplexing pooled scRNA-seq data with or without genotype reference

Spatial alignment of single cell transcriptomic data.

scGEAToolbox: Matlab toolbox for single-cell gene expression analyses

A tool for fast and accurate summarizing of variant calling format (VCF) files

Imputation method for scRNA-seq based on low-rank approximation

Discover differential transcript usage from polyA-captured single cell RNA-seq data

Clone identification from single-cell data

Examples using Clustergrammer2 to explore high-dimensional datasets.

Pipeline for initial analysis of droplet-based single-cell RNA-seq data

Spatial Transcriptomics Dashboard

Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

Reconstruction of complex single-cell trajectories using CellRouter

Conversion between scRNA-seq objects

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Quantifying experimental perturbations at single cell resolution

Data-driven Network-based Bayesian Inference of Drivers