PyTorch Inference Optimized Training Using Fake Quantization

PyTorch Static Quantization for Convolutional Neural Networks

User Friendly C++ Header File

PyTorch Dynamic Quantization for Transformers

An Interesting Property Leading to the Application for Quantum Integer Factorization

Fill Some Missing Information for Understanding LIDAR

Integration by Sampling

Simple Proof to Multivariate Jensen's Inequality

Some Intuitions to Training Generative Adversarial Networks

Understand Single-Threaded Asynchronous Scheduling From A High-Level Perspective

libcuda.so VS libcudart.so

Approximate Algorithm for Finding Roots to Real-Valued Function