Pinned Repositories
2022_test
channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks
Deep_learning
cat vs dog + MNIST + 植物种苗分类 + 2018 data science bowl
exposure
An "infinite"-resolution GAN. It additionally produces interpretable results based on a photo editing model and reinforcement learning. (ACM Transactions on Graphics 2018)
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
leetcode
easy难度 包括思路及解题过程 语言python3
Leetcode-medium
Leetcode 中等难度 语言C++
markdown-of-deep-learning
深度学习笔记及工程经验（整理上传ing）
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 and CoreML.
notebook
剑指offer及常用的数据结构与算法
zzzzzzrc's Repositories
zzzzzzrc/2022_test
zzzzzzrc/channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks
zzzzzzrc/Deep_learning
cat vs dog + MNIST + 植物种苗分类 + 2018 data science bowl
zzzzzzrc/exposure
An "infinite"-resolution GAN. It additionally produces interpretable results based on a photo editing model and reinforcement learning. (ACM Transactions on Graphics 2018)
zzzzzzrc/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
zzzzzzrc/leetcode
easy难度 包括思路及解题过程 语言python3
zzzzzzrc/Leetcode-medium
Leetcode 中等难度 语言C++
zzzzzzrc/markdown-of-deep-learning
深度学习笔记及工程经验（整理上传ing）
zzzzzzrc/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 and CoreML.
zzzzzzrc/notebook
剑指offer及常用的数据结构与算法
zzzzzzrc/keras_ocr
用keras实现OCR定位、识别
zzzzzzrc/keras_to_tensorflow
General code to convert a trained keras model into an inference tensorflow model
zzzzzzrc/machine_learning
from zhangruoceng
zzzzzzrc/models
Models and examples built with TensorFlow