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CUDA Reduction

 07-30-2024 07-30-2024 blog 15 minutes read (About 2214 words)
Parallel Reduction CUDA Implementations

 
CPP, 
CUDA, 
NVIDIA  
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Neural Radiance Fields

 07-24-2024 07-24-2024 blog 6 minutes read (About 826 words)
Scene Representation and Differentiable Rendering with Neural Radiance Fields

 
Deep Learning, 
Computer Vision, 
Neural Network, 
NeRF, 
Neural Radiance Fields  
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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, 
Taylor Expansion, 
Neural Network Pruning  
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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  
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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  
  Read More
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Lei Mao

Lei Mao

Artificial Intelligence Machine Learning Computer Science

Menlo Park, California

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