Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
- Blog 16
- Python 8
- Tutorial 6
- Educational 5
- Linux 4
- Computer Vision 3
- MRI Technology 2
- LLMs 2
- Conda 1
- IDE 1
- Code editor 1
- Djnago 1
- Apache 1
- Ububtu 1
- Ubuntu 1
- troubleshoot 1
- Pytorch 1
- Deep Learning 1
- TensorFlow 1
- NLP 1
- Neuroscience 1
- Probability Theory 1
- Computational Neuroethology 1
- Data Visualization 1
- Genrative Models 1
- VAE 1
- Machine Learning 1
- Computational Modeling 1
- MR Physics 1
- MRI Analysis 1
- Signal Processing 1
- Mathematical Modeling 1
- Data Analysis 1
- Reinforcement Learning 1
Blog
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
How to Create a Data Folder for Each User and Move Conda Packages to a Shared Storage Drive
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Python, conda and virtual environments
The python set up with conda and virtual environments explained
Python
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Python, conda and virtual environments
The python set up with conda and virtual environments explained
Tutorial
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
Educational
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
Linux
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
How to Create a Data Folder for Each User and Move Conda Packages to a Shared Storage Drive
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Computer Vision
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
MRI Technology
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
LLMs
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Conda
Python, conda and virtual environments
The python set up with conda and virtual environments explained
IDE
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Code editor
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Djnago
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Apache
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Ububtu
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Ubuntu
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
troubleshoot
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
Pytorch
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
Deep Learning
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
TensorFlow
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
NLP
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Neuroscience
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
Probability Theory
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Computational Neuroethology
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Data Visualization
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Genrative Models
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
VAE
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Machine Learning
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Computational Modeling
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
MR Physics
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
MRI Analysis
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Signal Processing
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Mathematical Modeling
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Data Analysis
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
Reinforcement Learning
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...