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Volume Rendering

 07-20-2024 07-20-2024 blog 11 minutes read (About 1587 words)
Mathematical Model for Volume Rendering

 
Computer Vision, 
Mathematics, 
Computer Graphics, 
Volume Rendering, 
Ray Casting  
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USPS Informed Delivery and Lost Mails

 07-17-2024 07-17-2024 blog 3 minutes read (About 445 words)
Where Is My Mail?

 
USPS  
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Floating Point Inf NaN Sources

 07-14-2024 07-14-2024 blog 6 minutes read (About 928 words)
Eliminating Unnecessary Inf and NaN Checks in Floating Point Computation

 
CPP, 
Safety, 
Floating Point, 
Numerical Issues  
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LoRA and LoRAPrune

 07-11-2024 07-11-2024 blog 11 minutes read (About 1664 words)
Fine-Tuning and Pruning of Large Language Models Using Low-Rank Adaptation

 
Deep Learning, 
Neural Network, 
Neural Network Pruning, 
LoRA, 
LoRAPrune  
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GitHub Actions Timeout

 07-06-2024 07-06-2024 blog 4 minutes read (About 673 words)
Avoiding Unexpected Usage and Cost of GitHub Actions

 
GitHub  
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Open-Loop VS Closed-Loop

 06-30-2024 06-30-2024 blog 6 minutes read (About 971 words)
Open-Loop and Closed-Loop Control and Evaluation Systems

 
Autonomous Driving, 
Control Theory, 
Robotics, 
Open-Loop, 
Closed-Loop  
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Static Library VS Shared Library

 06-25-2024 06-25-2024 blog 11 minutes read (About 1612 words)
An Example Approach

 
CPP, 
C, 
CMake, 
Build System  
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Parameter Importance Approximation Via Taylor Expansion In Neural Network Pruning

 06-20-2024 07-07-2024 blog 12 minutes read (About 1778 words)
Scoring Neural Network Parameter Importance Faster

 
Deep Learning, 
Mathematics, 
Neural Network Pruning, 
Taylor Expansion  
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PyTorch Variational Autoencoder

 06-14-2024 06-14-2024 blog 19 minutes read (About 2921 words)
Implementing Variational Autoencoder in PyTorch

 
Deep Learning, 
Statistics, 
Probability, 
Mathematics, 
Neural Network, 
Bayesian Inference, 
PyTorch, 
Variational Autoencoder, 
VAE  
  Read More

PyTorch Automatic Mixed Precision Training

 06-08-2024 06-08-2024 blog 3 minutes read (About 492 words)
Accelerating PyTorch Deep Learning Training with Automatic Mixed Precision

 
Deep Learning, 
Neural Network, 
PyTorch, 
Mixed Precision Training, 
Automatic Mixed Precision Training  
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Variational Autoencoder

 06-02-2024 06-02-2024 blog 26 minutes read (About 3899 words)
Optimizing Probabilistic Models with Latent Variables

 
Machine Learning, 
Statistics, 
Probability, 
Mathematics, 
Bayesian Inference, 
Variational Autoencoder, 
VAE  
  Read More

Multilingual Issues with Snap Applications on Linux

 05-28-2024 05-28-2024 blog 3 minutes read (About 485 words)
Insufficient Language Support from Snap Applications on Linux

 
Ubuntu, 
Linux, 
Snap  
  Read More
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Lei Mao

Lei Mao

Artificial Intelligence Machine Learning Computer Science

Menlo Park, California

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