1.Tencent / ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
+126 stars
from 23,891 · score 4.84
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2.CMU-Perceptual-Computing-Lab / openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
+96 stars
from 34,454 · score 4.57
3.tangyudi / Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
+87 stars
from 13,370 · score 4.48
4.donnemartin / data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
+46 stars
from 29,340 · score 3.85
5.likedan / Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
+18 stars
from 7,050 · score 2.94
6.humphd / have-fun-with-machine-learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
+4 stars
from 5,113 · score 1.61
7.richzhang / colorization
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
+4 stars
from 3,461 · score 1.61
8.NVIDIA / DIGITSArchived
Deep Learning GPU Training System
+3 stars
from 4,171 · score 1.39
9.microsoft / MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
+2 stars
from 5,802 · score 1.10