Deep Learning, NLP, NMT, AI, ML
Python tutorials
Game programming is a great way to learn how to program. You use many tools that you’ll see in the real world, plus you get to play a game to test your results! An ideal game to start your Python game programming journey is rock paper scissors. In this course, you’ll learn how to: Code your own rock paper scissors game Take in user input with input() Play several games in a row using a while loop Clean up your […]
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When you’re using Python strings often in your code, you may face the need to work with them in reverse order. Python includes a few handy tools and techniques that can help you out in these situations. With them, you’ll be able to build reversed copies of existing strings quickly and efficiently. Knowing about these tools and techniques for reversing strings in Python will help you improve your proficiency as a Python developer. In this tutorial, you’ll learn how to: […]
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You don’t want to deploy an application that has security vulnerabilities. That means your own code, but also third-party dependencies: it doesn’t matter how secure your code is if it’s exposing a TLS socket with a version of OpenSSL that has a remote code execution vulnerability. For pip-based Python applications, you’d usually run vulnerability scanners on Python dependencies like Django, and on system packages like OpenSSL. With Conda, however, the situation is a little different: Conda combines both types of […]
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Welcome back to the simulation ✌ . So ACL 2021 data dump happened and now we have a huge list of repos to get through in the Repo Cypher this week. 😁 Also, we are updating the NLP index very soon with 100+ new repos (many of which are mentioned here) alongside 30+ new NLP notebooks like this one 👇 . If you would like to get an email alert for future newsletters and asset updates, you can sign-up here. […]
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TextStyleBrush can recognize style of text in pictures and edit the words while maintaining the style. It’s “… the first self-supervised AI model that replaces text in images of both handwriting and scenes — in one shot — using a single example word.” Examples: Install TensorFlow v2.5 and the tensorflow-metal PluggableDevice to accelerate training with Metal on Mac GPUs. Chris Farber highlights how to use Postgres for common Redis use-cases. In all, he describes 3 use-cases of job-queuing, application locks, […]
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Hey Welcome back! Want to wish everyone in the US a happy 4th of July🎆🎇! Also, want to quickly mention that the NLP Index has doubled in size (since its inception) with now housing over 6,000 repos, pretty cool!!! 😎 And as always, it gets updated weekly. But first, this week we asked 100 NLP developers: Name one thing Microsoft got for paying $7.5 billi for GitHub, and $1 billi to OpenAI? SURVEY SAYS: 7.5B + 1B = GitHub CoPilot […]
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Welcome back! Hope you had a great week. We have a new leader on the SuperGLUE benchmark with a new Ernie model from Baidu comprising of 10 billion parameters trained on on a 4TB corpus. FYI, human baseline was already beat by Microsoft’s DeBERTa model at the beginning of the year… time for a new SuperSuperGLUE benchmark??? Paper BTW, if you are still interested in GitHub’s CoPilot, I stumbled upon the Codex paper this week: Paper DeepMind’s Perceiver transformer allows […]
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Sometimes… cool things happen. A new chatbot from Facebook AI was released this Friday with remarkable features. This chatbot, BlenderBot 2.0, is an improvement on their previous bot from last year. The bot has better long-term memory and can search the internet for information during conversation! This is a convenient improvement versus traditional bots since information is not statically “memorized” but instead has the option to be dynamic and “staying up to date” via the internet. 🤯 I’ve recently tested […]
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Welcome back! This week’s Cypher will be a bit shorter than usual, it was a slow week in NLP land. But first, I want to update you on the BlenderBot 2.0 situation. On last week’s Cypher, the last hurdle to overcome with the instantiation of blenderbot inference was the search server (which gives the bot the ability to comb the web to answer factoid type of questions). Well we finally have a search server repo to work with! Thank you […]
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Machine Learning education content from aggregating 1,300 questions from an ML Course. Pretty cool site with very simple and intuitive answers to technical ML questions. If you are looking for more math heavy stuff go elsewhere. Here’s an example: What do dropout layers do? Dropout layers throw things away. Now you would be asking, why would I want my model to throw data away? It turns out that throwing things away when training a model can drastically improve a model’s […]
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