As July draws to a close, MyBridge has selected 10 of the best machine learning open source projects for developers:
- These projects have an average of 1,041 stars on GitHub
- Topics covered: human posture prediction, image classification, mobile AI computing engine, medical detection, satellite imagery, etc.
No.1
DensePose: Map all human pixels in 2D RGB images in real time to a surface-based 3D model of human body. [GitHub 3000 stars]
Project address: Stamp here
No.2
Darts: Differentiable framework Search for Convolutional and Recurrent Neural Networks. [1187 stars on GitHub]
Stamp here
No.3
SNIPER: A very efficient multi-scale target detection algorithm. [1388 stars on GitHub]
Stamp here
No.4
Mace: Xiaomi’s open source deep learning framework for mobile computing platforms. [GitHub 2182 stars]
Project address: Stamp here
No.5
RoboSat: It can semantically segment aerial and satellite images to extract important features such as buildings, parking lots, roads and water. [GitHub 810 stars]
Project address: Stamp here
No.6
DecaNLP: A multi-tasking challenge in the field of natural language processing, covering 10 tasks: question answering, machine translation, text review, natural language reasoning, semantic analysis, semantic tagging, zero-sample relation extraction, goal-oriented dialogue, semantic parsing, and common sense noun parsing. [948 stars on GitHub]
Stamp here
No.7
Magnitude: A fast and easy vector embedding entity library. [434 stars on GitHub]
Project address: Stamp here
No.8
Porcupine: a device-based language-wake detection engine driven by deep learning that enables developers to build language-enabled, always-listening applications or platforms. [379 stars on GitHub]
Project address: Stamp here
No.9
NCRF: Detection of cancer metastasis using neural Conditional random field. [297 stars on GitHub]
Stamp here
No.10
DALI: Includes highly optimized building blocks and an execution engine for data preprocessing in deep learning applications. [GitHub 450 stars]
Project address: Stamp here
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