shangliy's repositories
Andorid_Tensorflow_Model
Android version of tensorflow feature extraction
CPluse_Projects
Include CPlus Projects
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18个章节，近30万字。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
jina
Jina is the cloud-native neural search framework powered by state-of-the-art AI and deep learning
lit
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
MachineLearning
一些关于机器学习的学习资料与研究介绍
ML-web-app
Train and Deploy Machine Learning Model With Web Interface - Docker, PyTorch & Flask
multimodal-vae-public
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
PyTorch-CPP
PyTorch C++ inference with libtorch
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
TT-SS
TT&SS
tvm
TVM integration into PyTorch