shangliy Goto Github PK

ai-qrcode

andorid_tensorflow_model

Android version of tensorflow feature extraction

carnd-unscented-kalman-filter-project

cpluse_projects

Include CPlus Projects

deep_q_learning_car

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[email protected] 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

ml_course_student_intervention_sl

ml_unsupervised-learning_customer_segments

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

neural-structured-learning

opengl_samples

the exercise from the usc course

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

shangliy.github.io

shangliy_carnd-extended-kalman-filter

sl_model_methods

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tt-ss

TT&SS

tvm

TVM integration into PyTorch

udacity_carnd-path-planning

udacity_carnd_advanced-veihcle-detection

udacity_carnd_driving_clone

udacity_carnd_final_project

udacity_carnd_mpc_shawn

udacity_carnd_q_learning_smartcar