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Prikvačeni tweet
Has been an exciting week! Trying to teach CNNs interactively to detect objects in images with
@explosion_ai 's Prodigy and@TensorFlow 's object detection API. Thanks@honnibal and@_inesmontani. Few sample results while teaching Inception-V2 - Faster-RCNN to detect Raccoons!
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ABHIJIT BALAJI proslijedio/la je Tweet
Travelling to Medellín today for
@PyConColombia
My keynote will be about the what the future holds for NLP, and how we can enable a new level of developer experience to make the technology available to everyone
pic.twitter.com/XsgNXS9osA
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ABHIJIT BALAJI proslijedio/la je Tweet
Help revolutionize the world with full self-driving by joining us at Tesla Autopilot: https://www.tesla.com/autopilotAI It is very hard to find other places where AI expertise makes as much of a difference on as big of a problem.pic.twitter.com/KTjV693G8e
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ABHIJIT BALAJI proslijedio/la je Tweet
A PhD is definitely not required. All that matters is a deep understanding of AI & ability to implement NNs in a way that is actually useful (latter point is what’s truly hard). Don’t care if you even graduated high school.
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ABHIJIT BALAJI proslijedio/la je Tweet
It's actually a bit different from how Keras had multiple backends. Keras needed to touch quite a big API surface, because it was delegating all the numeric computation. Thinc's shims are just wrappers that have to pass around the inputs, outputs and gradients.
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ABHIJIT BALAJI proslijedio/la je Tweet
Introducing the new Thinc, a refreshing functional take on deep learning!
Static type checking
Mix @PyTorch,@TensorFlow &@ApacheMXNet
Integrated config system
Extensible backends incl. JAX (experimental)
Variable-length sequences & morehttps://thinc.ai Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
ABHIJIT BALAJI proslijedio/la je Tweet
First, the type system: Thinc was designed for type-checking from day 1, and AFAIK it's the first library to offer detailed support for numpy's API. This helps code readability, gives editor support, and catches some bugs. 2/5
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We also have type annotations on the model --- so you can use the types to plan out your model, and again, get type errors if your wiring is wrong. This works especially well with Thinc's functional programming approach. 3/5
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ABHIJIT BALAJI proslijedio/la je Tweet
Speaking of functional programming...The conceptual model behind Thinc is also something that you might find interesting in itself. It's a different way to program backprop, using callbacks instead of a tape. 4/5https://thinc.ai/docs/concept
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ABHIJIT BALAJI proslijedio/la je Tweet
Finally, Thinc also offers some extremely practical features. Have a look at the config system, but also the fact that you can easily wrap other frameworks. Thinc is designed to complement other frameworks, not replace them. 5/5https://thinc.ai/docs/usage-config …
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Wow! A fresh perspective to implementing deep learning algorithms is out. I cannot believe that I had a small part in it. Thanks
@_inesmontani@honnibal@OxyKodit@justindujardin@tiangolo. You guys rock!


https://twitter.com/explosion_ai/status/1222265907965321216 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
ABHIJIT BALAJI proslijedio/la je Tweet
Incredibly proud to release this: a new deep learning library, incorporating lessons we've learned from
@spacy_io, https://prodi.gy and@tiangolo's FastAPI. Even if you're not looking for new tools, there's lots you might find interesting conceptually. Quick thread: 1/5https://twitter.com/explosion_ai/status/1222265907965321216 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
ABHIJIT BALAJI proslijedio/la je Tweet
Super excited to be visiting Colombia next month and giving a keynote at
@pyconcolombia
Check out the tweet below for my intro video
and for details on how to get tickets. Hope to see you there!https://twitter.com/pyconcolombia/status/1217985129165066243 …
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ABHIJIT BALAJI proslijedio/la je Tweet
I often meet research scientists interested in open-sourcing their code/research and asking for advice. Here is a thread for you. First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competitionpic.twitter.com/x16jgKmLFr
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ABHIJIT BALAJI proslijedio/la je Tweet
Repository and doc: https://github.com/huggingface/tokenizers … To install: - Rust: https://crates.io/crates/tokenizers … - Python: pip install tokenizers - Node: npm install tokenizers
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It's really important to understand backprop! Most ML/DL libraries abstract this mathematical marvel and makes it feel like magic. I really love the way how
#Thinc forces you to understand backprop. My understanding of backprop deepened after using#Thinchttps://github.com/explosion/thincHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
ABHIJIT BALAJI proslijedio/la je Tweet
Let's start out 2020 right by doing something scary. After about a decade of work in my spare time, today I released
#Mathy, a lib for building RL environments where agents solve math problems step-by-step, and a CLI for using pre-trained agents as tutors https://mathy.ai pic.twitter.com/LambFVnTlT
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2019 has been an amazing year for me! Shift to Computer Science
@UT_Dallas (MS) from Mechanical Engineering(Bachelors). Interning@explosion_ai and working with the amazing@honnibal@_inesmontani@OxyKodit. It's amazing and enlightening to work with people whom you lookup to!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
ABHIJIT BALAJI proslijedio/la je Tweet
As a Christmas present,
@balaji_abhijit has made training the#neuralcoref algorithm much more memory efficient through lazy loading of the dataset - cf https://github.com/huggingface/neuralcoref/pull/231 …

@huggingface@spacy_io#nlpprocHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
ABHIJIT BALAJI proslijedio/la je Tweet
Any https://prodi.gy users who are also working with audio? I might have something cool for you to beta test soon!

pic.twitter.com/Wac3HtfsjS
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ABHIJIT BALAJI proslijedio/la je Tweet
Capture confirmed! After 19 flights to the
@space_station, Dragon has now delivered over 95,000 pounds of critical supplies to the orbiting laboratorypic.twitter.com/4aNkjh61Xd
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