RYZF-SUCC's repositories
interpretable-ml-book
Book about interpretable machine learning
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
Awesome-Pruning
A curated list of neural network pruning resources.
bert
TensorFlow code and pre-trained models for BERT
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepLearning
A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
FPGA-Accelerator-for-AES-LeNet-VGG16
FPGA/AES/LeNet/VGG16
FPGA_LeNet5_ws_8x8
FPGA implement of 8x8 weight stationary systolic array DNN accelerator
hub
Submission to https://pytorch.org/hub/
INQ-pytorch
A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
lenet-5
implement lenet-5 in lecun-98 by python
MNIST-to-CSV
Convert original MNIST database from http://yann.lecun.com/exdb/mnist/ into CSV format
mnist_png
MNIST converted to PNG format
numpy-cn
NumPy官方中文文档（完整版）
PaddleX
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
Project
Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery
python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
quantize_cnn
For the most CNN, there is a method to quantize float to 8bit fixed-point.
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。