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About - GitHub Pages
I help fund and accelerate the growth of cool tech companies with the STV team. I once founded a tech startup where I built an extensive web app as well as apps for iOS and Android. Whenever I find time, I try to make tiny contributions to open source projects I love and use – mostly documentation. For example, my post visualizing some Pandas ...
Jalammar.github.ioThe Illustrated Word2vec - GitHub Pages
2019-03-27 · Discussions: Hacker News (347 points, 37 comments), Reddit r/MachineLearning (151 points, 19 comments) Translations: Chinese (Simplified), French, Korean, Portuguese, Russian “There is in all things a pattern that is part of our universe. It has symmetry, elegance, and grace - those qualities you find always in that which the true artist captures. You can find it …
Jalammar.github.iojalammar.github.io/_config.yml at master · …
Build a Jekyll blog in minutes, without touching the command line. - jalammar.github.io/_config.yml at master · Dongcf/jalammar.github.io
Github.comProjects · jalammar.github.io · GitHub
GitHub is where people build software. More than 73 million people use GitHub to discover, fork, and contribute to over 200 million projects.
Github.comActions · Dongcf/jalammar.github.io · GitHub
Build a Jekyll blog in minutes, without touching the command line. - Actions · Dongcf/jalammar.github.io
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Github.comjalammar.github.io/CNAME at master · …
Build a Jekyll blog in minutes, without touching the command line. - jalammar.github.io/CNAME at master · jalammar/jalammar.github.io
Github.comFile Finder · Dongcf/jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line. - File Finder · Dongcf/jalammar.github.io
Github.comJ Alammar - Google Scholar
Arpeggio - Cited by 277 - Machine Learning - Natural Language Processing - Artificial Intelligence - Software
Scholar.google.comA Visual And Interactive Look at Basic Neural Network Math – Jay …
Calculating a prediction is done by plugging in a value for "age" and "sex". The calculation then flows from the left to the right. Before we can use this net for prediction, however, we'll have to run a "training" process that will give us the values for the weights (w) and bias (b).Note: we have slightly adjusted the way we represent the networks from the previous post.
Nxtstage.netText mining project; Using distilBERT to predict authors in the …
2022-01-14 · Tool Bot Discord Telegram Web Crawling Robot Twitter Instagram Twitch Scrape Scrapy Github Command-line Tools Generator Terminal Trading Password Checker Configuration Localization Messenger Attack Protocol Neural Network Network File Explorer Distributed Monitoring Widgets Scripts Proxy Console
Pythonawesome.comCATBERT — Detecting malicious emails with a bleeding-edge …
2020-04-03 · Email messages consist of subject and body, which our model uses by concatenating the text from subject and body into a single “sentence”. The text in the email body often contains HTML tags ...
Medium.comLecture 12: GPT-2 - harvard-iacs.github.io
Harvard AC295/CS287r/CSCI E-115B Chris Tanner Generative pre-training Lecture 12: GPT-2
Harvard-iacs.github.ioModelling Sequential Data with ELMo, BERT, Transformers, and …
Harvard. AC295/CS287r/CSCI E-115B. Chris Tanner. Generative pre-training. Lecture 12: GPT-2
Harvard-iacs.github.ioDeep Learning 101: What Is a Transformer and Why Should I Care?
2021-02-27 · A Transformer is a combination of a Convolutional Neural Network and a self-attention model. Transformers attempt to speed up the processing and transformation of data by using attention in place of recurrence, which allows it to encode the item and its position in a sequence. This is significantly faster and less computationally complex than ...
Saltdatalabs.comThe Illustrated Transformer | Hacker News
The Illustrated Transformer (jalammar.github.io) 65 points by ghosthamlet on Nov 1, 2018 | hide | past | favorite | 4 comments angel_j on Nov 1, 2018 | next [–]
News.ycombinator.comRNN vs LSTM vs Transformer - bitshots.github.io
Picture courtsey: Illustrated Transformer. A Transformer of 2 stacked encoders and decoders, notice the positional embeddings and absence of any RNN cell. Surprisingly, Transformers do not imply any RNN/ LSTM in their encoder-decoder implementation instead, they use a Self-attention layer followed by an FFN layer.
Bitshots.github.ioThe Illustrated Word2vec | Hacker News
2019-03-27 · The Illustrated Word2vec (jalammar.github.io) 348 points by jalammar on March 27, 2019 | hide | past | favorite | 37 comments: danieldk on March 27, 2019. There are clear places where “king” and “queen” are similar to each other and distinct from all the others. Could these be coding for a vague concept of royalty? This is a common misunderstanding and …
News.ycombinator.com09 How GPT3 Works - Visualizations and Animations – Jay …
View 09 How GPT3 Works - Visualizations and Animations – Jay Alammar – Visualizing machine learning one c from COMPUTER S 123 at Jabalpur Engineering College. 10/29/2020 How …
Coursehero.comyoongi0428’s gists · GitHub
GitHub Gist: star and fork yoongi0428's gists by creating an account on GitHub.
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