jetsmith's repositories
awesome-knowledge-distillation
Awesome Knowledge Distillation
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:TeXGPL-3.0000
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Language:Jupyter NotebookApache-2.0000
Estimator_Test
test
Language:PythonApache-2.0000
frvt
Repository for the Face Recognition Vendor Test (FRVT)
Language:C++000
insightface
Face Recognition Project on MXNet
Language:PythonMIT000
models
Models and examples built with TensorFlow
Language:PythonApache-2.0000
MXNet2Caffe
Convert MXNet model to Caffe model
Language:PythonMIT000
tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++Apache-2.0000