Archive

Blog Posts

• 14 Sep 2024 » QLoRA and 4-bit Quantization

• 23 Apr 2024 » Colab GPUs Features & Pricing

• 30 Jan 2024 » Summarizing Long PDFs with ChatGPT

• 11 Apr 2023 » Choosing a Sampler for Stable Diffusion

• 20 Feb 2023 » Classifier-Free Guidance (CFG) Scale

• 11 Jan 2023 » Steps and Seeds in Stable Diffusion

• 21 Dec 2022 » How Stable Diffusion Works

• 06 Dec 2022 » How img2img Diffusion Works

• 02 Dec 2022 » What You Can Reasonably Expect from Stable Diffusion

• 29 Jun 2021 » Combining Categorical and Numerical Features with Text in BERT

• 27 May 2021 » How To Build Your Own Question Answering System

• 23 Mar 2021 » 2020 NLP and NeurIPS Highlights

• 05 Oct 2020 » How to Apply BERT to Arabic and Other Languages

• 29 Jul 2020 » Smart Batching Tutorial - Speed Up BERT Training

• 21 Jul 2020 » GPU Benchmarks for Fine-Tuning BERT

• 22 Jun 2020 » Domain-Specific BERT Models

• 19 May 2020 » Existing Tools for Named Entity Recognition

• 14 Apr 2020 » Trivial BERsuiT - How much trivia does BERT know?

• 10 Mar 2020 » Question Answering with a Fine-Tuned BERT

• 11 Nov 2019 » BERT Research - Ep. 1 - Key Concepts & Sources

• 05 Nov 2019 » GLUE Explained: Understanding BERT Through Benchmarks

• 28 Oct 2019 » Matrix Operations in NumPy vs. Matlab

• 19 Sep 2019 » XLNet Fine-Tuning Tutorial with PyTorch

• 22 Jul 2019 » BERT Fine-Tuning Tutorial with PyTorch

• 14 May 2019 » BERT Word Embeddings Tutorial

• 12 Mar 2019 » The Inner Workings of word2vec

• 15 Jun 2018 » Applying word2vec to Recommenders and Advertising

• 22 Oct 2017 » Product Quantizers for k-NN Tutorial Part 2

• 13 Oct 2017 » Product Quantizers for k-NN Tutorial Part 1

• 08 Sep 2017 » k-NN Benchmarks Part I - Wikipedia

• 22 Feb 2017 » Concept Search on Wikipedia

• 01 Feb 2017 » Getting Started with mlpack

• 11 Jan 2017 » Word2Vec Tutorial Part 2 - Negative Sampling

• 08 Nov 2016 » DBSCAN Clustering

• 04 Nov 2016 » Interpreting LSI Document Similarity

• 27 Apr 2016 » Word2Vec Resources

• 19 Apr 2016 » Word2Vec Tutorial - The Skip-Gram Model

• 12 Apr 2016 » Google’s trained Word2Vec model in Python

• 25 Mar 2016 » Latent Semantic Analysis (LSA) for Text Classification Tutorial

• 12 Feb 2016 » Jeff Dean Keynote at GTC 2015

• 17 Sep 2015 » Notes on PageRank

• 29 Aug 2015 » Matrix Multiplication with cuBLAS Example

• 26 Aug 2015 » RBFN Tutorial Part II - Function Approximation

• 06 Aug 2015 » Document Clustering Example in SciKit-Learn

• 12 Jun 2015 » MinHash Tutorial with Python Code

• 09 May 2015 » Experiences Renting GPU Instances

• 10 Jan 2015 » Understanding the DeepLearnToolbox CNN Example

• 06 Jan 2015 » What is an L2-SVM?

• 22 Aug 2014 » Fast Euclidean Distance Calculation with Matlab Code

• 04 Aug 2014 » Gaussian Mixture Models Tutorial and MATLAB Code

• 24 Jul 2014 » Intuition Behind Whitening Image Patches

• 22 Jul 2014 » Mahalanobis Distance

• 27 Jun 2014 » Deep Learning Tutorial - Convolutional Neural Networks

• 24 Jun 2014 » Deep Learning Tutorial - Self-Taught Learning & Deep Networks

• 13 Jun 2014 » Deep Learning Tutorial - Softmax Regression

• 03 Jun 2014 » Deep Learning Tutorial - PCA and Whitening

• 30 May 2014 » Deep Learning Tutorial - Sparse Autoencoder

• 25 May 2014 » Stanford Deep Learning Tutorial

• 04 Mar 2014 » Gradient Descent Derivation

• 26 Feb 2014 » Kernel Regression

• 10 Jan 2014 » Stereo Vision Tutorial - Part I

• 13 Dec 2013 » AdaBoost Tutorial

• 07 Nov 2013 » OpenCV HOG Detector: Result Clustering

• 16 Aug 2013 » RBF Network MATLAB Code

• 15 Aug 2013 » Radial Basis Function Network (RBFN) Tutorial

• 15 Aug 2013 » The Gaussian Kernel

• 01 Aug 2013 » K-Fold Cross-Validation, With MATLAB Code

• 09 May 2013 » HOG Descriptor in MATLAB

• 09 May 2013 » HOG Person Detector Tutorial

• 07 May 2013 » Gradient Vectors

• 16 Apr 2013 » SVM Tutorial - Part I

• 06 Apr 2013 » Stanford Machine Learning - Lecture 6

• 05 Apr 2013 » Stanford Machine Learning - Lecture 5

• 04 Apr 2013 » Stanford Machine Learning - Lecture 3

• 02 Apr 2013 » Stanford Machine Learning - Lecture 2

• 02 Apr 2013 » Stanford Machine Learning - Lecture 1

• 02 Apr 2013 » Stanford Machine Learning Course

• 30 Mar 2013 » UCF Lecture 6 - Optical Flow

• 27 Feb 2013 » Canny Edge Detector

• 27 Feb 2013 » Laplacian Of Gaussian (Marr-Hildreth) Edge Detector

• 27 Feb 2013 » Gaussian Filter

• 27 Feb 2013 » Filter Masks

• 26 Feb 2013 » Image Derivative

• 25 Feb 2013 » UCF Lecture 01 - Introduction To Computer Vision

• 25 Feb 2013 » UCF Computer Vision Lecture Series

• 24 Jan 2013 » OpenCV SIFT Tutorial

• 24 Jan 2013 » OpenCV Setup in Visual Studio 2010

• 08 Dec 2012 » Hand Pose Recognition With Microsoft Kinect and CogniMem V1KU