machine learning
How to Build a Similar Posts Feature for Your Gatsby (JAMSTACK) Website using Machine Learning (Document Similarity)
Extract representations for each post using a pretrained model, compute similarity scores, build a data structure that maps each post to a list of similar posts and display it on the post page.
Introducing Peacasso: A UI Interface for Generating AI Art with Latent Diffusion Models (Stable Diffusion)
I built a UI interface for interacting with latent diffusion models.
Latent Diffusion Models: Components and Denoising Steps
Visualizing results from the the denoising steps for stable diffusion models.
How to Build An Android App and Integrate Tensorflow ML Models
How to integrate your tensorflow models in a simple android app
How to Implement Gradient Explanations for a HuggingFace Text Classification Model (Tensorflow 2.0)
Attribution based explanations via vanilla gradients for Huggingface BERT text classification models.
How to Finetune BERT for Text Classification (HuggingFace Transformers, Tensorflow 2.0) on a Custom Dataset
Predict classes using HuggingFace Transformers Tensorflow 2.0 on your custom dataset.
State of Deep Learning for Code Generation (DL4Code)
Machine learning models can now write decent code. Here are a list of key papers and models that address this task.
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation | Paper Review
A review of the March 2021 paper on CodexGLUE, a dataset for code understanding and generation
How to Speed Up Neural Network Training with Intel's Gaudi HPUs. A Tensorflow 2.0 Object Detection Example
You have heard of GPUs, and TPUs. Here is what you need to know as an ML engineer to use HPUs (Habana Processor Units)!
Signature Image Cleaning with Tensorflow 2.0 - TF.Data and Autoencoders
How to create a synthetic TF.Data generator and train a deep convolutional neural networks on the task of signature cleaning.
AlphaCode: Competition-Level Code Generation with Transformer Based Architectures | Paper Review
A review of the Feb 2022 AlphaCode paper from DeepMind".
How To Convert PDFs to Images for ML Projects Using Ghostscript and Multiprocessing
Want to use data from PDF files for your machine learning projects? Convert them to images using Ghostscript. Get it done even faster (7x speed up) with multiprocessing.
How to Implement Extractive Summarization with BERT in Pytorch
How to Implement Extractive Summarization (as Sentence Classification) using HuggingFace BERT models in Pytorch
Neural Extractive Summarization with BERT
Overview of Extractive Summarization using BERT Based Models
Top 10 Machine Learning and Design Insights from Google IO 2021
A list of the top 10 design and AI/ML insights discussed at Google IO 2021.
State of Deep Learning for Object Detection - You Should Consider CenterNets!
It's 2021 - there has been quite a bit of progress in practical models for object detection.
Real-Time High-Resolution Background Matting | Paper Review
A review of the CVPR 2021 paper "Real-Time High-Resolution Background Matting".
U2Net Going Deeper with Nested U-Structure for Salient Object Detection | Paper Review
A review of the August 2020 U^2-Net paper. Technical overview, practical considerations.
Recent Breakthroughs in AI (Karpathy, Johnson et al, Feb 2021)
Summary of my notes from the Feb 11 Talk on “Recent breakthroughs in AI” .
How to Explain HuggingFace BERT for Question Answering NLP Models with Tensorflow 2.0
Using gradients to visualize what parts of the question/passage most impact the predicted answer.
Introducing Anomagram - An Interactive Visualization of Autoencoders, Built with Tensorflow.js
An interactive tool that lets you train and evaluate an autoencoder for the task of anomaly detection on ECG data. It lets you visualize performance metrics, internal model state as training progresses, all in the browser.
Designing Anomagram
A discussion on some of the design and optimizations that support the user experience goals for the Anomagram app.
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