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Created on 14 Feb 2022.

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Fill Versions From Python Environment

Script that fills in versions into your requirements file

Cooking with Psyllium Fiber to Reduce Sugar Spikes

My month-long experience using this plant-based fiber ingredient.

Neural Network Pruning Explained

Reduce on-CPU prediction and model storage costs by zeroing-out weights while minimally increasing the loss.

Tokenization in Machine Learning Explained

Tokenization is splitting the input data into a sequence of meaningful parts e.g. pice data like a word, image patch, document sentence.

Embeddings in Machine Learning Explained

Embedding is a task specific lower dimensional vector representation of data like a word, image, document, or an user.

Multimodal Image-text Classification

Understand the top deep learning image and text classification models CMA-CLIP, CLIP, CoCa, and MMBT used in e-commerce.

Strong Static Typing vs Weak Dynamic Typing

Master programmers Carmack, Blow, Fowler, and Uncle Bob on strong static typing in contrast to weak dynamic typing.

Python functools.cmp_to_key Explained

Understand the functools' comparison function to key function conversion quickly.

Transformer Positional Embeddings and Encodings

How transformers encode information about token positions?

Transformer Embeddings and Tokenization

How transformers convert text and other data to vectors and back using tokenization, positional encoding, embedding layers.

Bits-Per-Byte and Bits-Per-Character

BPB and BPC are metrics used in compression and language modelling related to compression ratio.

Neural Data Compression

Lossless bit reduction with machine learning by minimizing cross-entropy. Examples: NNCP and TRACE models.

How Computers Understood Humans

Catch on with this 7-slide introduction to deep natural language processing of 2022, featuring TF-IDF, Word2vec, knowledge graphs, and transformers.

OpenAI's DALL-E 2 and DALL-E 1 Explained

Compare of text-to-image generation models DALL-E 1, 2, and understand related models VQ-VAE, CLIP, and GLIDE

Google's Pathways Language Model and Chain-of-Thought Prompting

PaLM, the largest model as of early 2022, outperforms average human on grade school logic and math (BIG-bench) by simulating reasoning steps.

Word Alignment for Sentence Similarity

Semantic similarity increases with similar semantic units of similar semantic contexts in the monolingual word alignment.

Sparse Matrix Why and When?

Sparce matrix formats like CSR, LOL, COO compress and speed up certain operations on mostly zero matrices

MassiveText Dataset introduced for pre-training of DeepMind's Gopher

Private diverse 10-lingual textual dataset composed of web, Github, news, Wikipedia, Books, C4.

Transformer's Self-Attention Mechanism Simplified

How transformer models like BERT and GPT work?

SRU++ Model Speeds Up Transformer with Simple Recurrent Unit

Reducing compute by combining RNN with self-attention from Transformer architecture.

7 Powers' Moats Through the Lens of DiBello's Business Mental Model

An insight into Helmer's enterprise moats via dimensions of demand, supply, and capital.

DeepMind's RETRO Retrieval-Enhanced Transformer

Retrieval-Enhanced Language Model cross-attends trillions of tokens for SoTA on Wikitext103 and The Pile with 25x fewer parameters.

Cross-Attention in Transformer Architecture

Merge two embedding sequences regardless of modality, e.g., image with text in Stable Diffusion U-Net.

Ten Commandments for Business Failure Book Summary

With a foreword from Warren Buffett, this short book is worthy of skimming.

Manipulate Item Attributes via Disentangled Representation

Using attribute-specific embedding subspaces for image manipulation retrieval, outfit completion, conditional similarity retrieval.

ELECTRA - How to Train BERT 4x Cheaper

Reducing training flops 4x by GAN-like discriminative task compared to RoBERTa-500K transformer model.

Expire-Span: Scaling Transformer by Forgetting

Reducing computational costs by differentiably dropping memorized embeddings from self-attention context.

Scout Mindset Book Summary

Short summary of a book from Julia Galef on clear thinking.

Quilt Data Versioning Review & How-to

How to version data using Quilt data for Python on AWS S3 for machine learning.

Wav2vec: Semi-supervised and Unsupervised Speech Recognition

Word2vec for audio quantizes phonemes, transforms, GAN trains on text and audio from Facebook AI.

PID Controller: A Simple Control Loop Mechanism

Proportional–integral–derivative controller calculates feedback to reduce the error in the next step.

DreamCoder: Wake & Sleep Program Learning

Learning to code by growing function library, fantasising coding tasks, and training neural search.

Google Product Taxonomy Viewer

Interactively explore Google Shopping's and Shopify's categories to configure products in your feed.

Automatically Expanding Taxonomy

Pinterest's Arborist model finds parents for unseen textual nodes using triplet-loss, StarSpace embeddings, & shortest path.

Submodularity in Ranking, Summarization, and Self-attention

Diminishing returns with a budget constraint in problems of coverage and results diversification.

Feed-Forward, Self-Attention & Key-Value

Feed-forward (MLP) layer is similar to cross-attention as observed in SwiGLU and All-attention.

Lambda Networks Transform Self-Attention

Is Lambda Layer similar to self-attention in a Transformer? What gives LambdaNet its power? LambdaResNet beats EfficientNet but does it loose to Performer?

Performers FAVOR+ Faster Transformer Attention

The Performer model attention approximation has linear complexity in contrast to square and outperforms Linformer.

Double Descent Contrary to Bias-Variance Trade-Off

Increasing parameter count leads to multiple test loss peaks and a global minima in the overparameterized regime.

To What Python Number Types Does json.loads Parse?

JSON specifies only a number value, so how to infer the correct type between int and float? How are NaN and Infinity handled?

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Word Mover's Embedding: Cheap WMD For Documents

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Transfigure Stress into Energy by Drawing on Research

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StarSpace - Embeddings For Documents, Users, and Words

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Thinkpad P52 Disassembly For Repaste, RAM Upgrade, Or Anything Else

Repaste, max RAM, or install antenna into Thinkpad P52 with these links and tips for full disassembly.

Python Context Manager Exception Handling and Retrying

Wrap your resource into a context manager with-statement to catch, handle exceptions, and close the resource.

Result Diversification in Web Search and Recommenders

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I read papers on a podcast

To improve my pronunciation and speech, I read mostly Machine Learning scientific papers on a podcast.

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Thinkpad P53 vs P52 Thermals: Any Improvement?

Is Thinkpad P53 the cooler brother of P52?

Constant 1D Kalman Filter Is Exponential Or Cumulative Average

Understand the Kalman filter with a simple one-dimensional example. It converges to cumulative or exponential average in case of constant measurement uncertainty and process noise.

FastText Word Embeddings

How FastText works, word embeddings, n-grams, OOV words, and visualize embedding norms.

Highly Compressed Richard Hamming's Lectures

Get inspired by Hamming's lectures compressed into tiny downloadable files.

Thinkpad P52 vs ZBook 15 G5 vs Precision 7530

This is my experience working on the best mobile workstation of 2019 with specs matching Thinkpad P52 and ZBook 15 G5.

Spline: Data Lineage For Spark Structure Streaming (2018)

Vaclav Kosar and Marek Novotny presentation at Spark N AI Summit 2018 of a POC of Structured Streaming data lineage tool.

Debounce In Bash To Fix Lenovo Touchpad And Trackpoint Lost Sync

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My First Contribution To A Major OSS Project Apache Spark

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How To Create Custom Ubuntu Web Link App

Turn any web page into an Ubuntu application and prevent the web owner from tracking you around the web.

Modern Config Injection In Maven Plugins

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Walking Desk: Cheap And Tiny

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Boundary Control Entity Architecture Pattern

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Functional ForEach In Bash

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Obsolete Git Branch Remover Maven Plugin

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How To Boost Your Jog Morale Using Military Cadence And Run Farther

Run beyond your max with this professional mind hack.

GitFlow Incremental Builder - Speed up your multi-module Maven build

Build only modules that changed compared to the master branch, plus their dependents. Java!

Hamiltonians with constant spectral intervals and time-dependent perturbation

On quantum systems determined by time-dependent Hamilton operators. Family of quantum systems, whose Hamilton operators take form H(t) = H 0 + V (t), where V (t) is perturbation and H 0 is self-adjoint with pure-point spectrum and constant gaps between eigenvalues in spectrum σ(H 0 ).

Feynman summation in finite-dimensional quantum mechanics

A summary and enhancement of existing literature regarding finite-dimensional quantum mechanics. In the later parts Feynman’s path summation is discussed.

Simulation of Soft Photon Calorimeter

Understand how an electromagnetic calorimeter works presented at Dubna JINR 2011.

Transverse momentum spectra and correlations in the blast wave model with resonances

This work provides a review of theories of properties of high energy density matter originating in heavy-ion high energy collisions (GeV/nucleus).

About Vaclav Kosar How many days left in this quarter? Twitter Bullet Points to Copy & Paste Privacy Policy

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