Shashank Shekhar 🚀 @ShashankData
Data Scientist | Computer Vision | NLP | Azure shashankshekhar.me Jaipur, India Joined September 2012-
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So excited to join Scratch to Scale: Large-Scale Training in the Modern World's course. Looking for a few friends to join me! maven.com/s/1d330e048d
The parts scavenger hunt is over. The 3D printer can finally rest. My SO101 ARM is built and the teleoperation is working! 🔥 Every tedious moment was worth it for this. Behold! @LeRobotHF @huggingface #DIY #Robotics #SO101 #3DPrinting #Engineering
The robotics journey continues! After building the Koch Arm, I'm diving into the incredible SO-ARM 101 Arm from @lerobot. 🤖 Here are the servos waiting for action and a satisfying video of the parts being printed. Follow along for the build! #Robotics #3Dprinting
"The price of productivity is creativity." @naval
Today I learnt…
To learn Machine Learning fast you need to use the power of constraints. Here is what they are and how you can use them to learn 12x faster:
This semester I'll teach an undergraduate "intro to RL" course at the UofA. For the first lecture, I collected some exciting, recent, impactful applications of RL. Link to the relevant slides: tinyurl.com/3zw9453p I thought this may be worthwhile to share.
Published new blog this weekend, Deep Dive in Linear Regression along with Python Implementation. Implemented from scratch using numpy. #MachineLearning #python #Blog #numpy shashankshekhar.me/myblog/posts/l…
Seeing all the #ChatGPT awesomeness makes me want to learn more about the PPO algorithm, and deep reinforcement learning in general! Oh wait @huggingface has a course on it 😂 cc @ThomasSimonini github.com/huggingface/de…
I have been thinking of starting a blog for a long time, I do write sometimes but it's sporadic. I am challanging myself for a 12-Week blog challenge - where I would publish atleast 1 blog/week. 🔗 Link: shashankshekhar.me/myblog Topics of blog: #AI #ML #DeepLearning
It's been more 27 days without a reboot, and people compain windows reboots abruptly. #Windows11
Working on #stablediffusion along with the @fastdotai course. Generated some cool Van Gogh style portraits of mine using #Dreambooth
I've spent 100's of hours training computer vision models. I've revisited my code and notes from those projects and distilled them into a repeatable process that anyone can follow. Here are the 7 steps I take every time I train a vision model:
Improving model inference speeds round #2. Let's have a look at the 4 common approaches to model compression! 1) Quantization 2) Pruning 3) Knowledge Distillation 4) Low-rank tensor decomposition (Anything missing?) 1/4 👇
Improving model inference speeds round #2. Let's have a look at the 4 common approaches to model compression! 1) Quantization 2) Pruning 3) Knowledge Distillation 4) Low-rank tensor decomposition (Anything missing?) 1/4 👇
I can teach you more in 2 minutes than you'll learn in 4 years. Here are 11 steps to start your own business:
P.S. If you like systems and personal growth, you will love my weekly newsletter (it's free). Every Saturday morning get 1 business growth tip to grow your online business. Try it here: getrevue.co/profile/matt_g…
Got accepted in @fastdotai part2v5. Really excited to learn more about stable diffusion from @jeremyphoward🤩🤩. Thanks for accepting my application.
The Illustrated Stable Diffusion jalammar.github.io/illustrated-st… New post! Over 30 visuals explaining how Stable Diffusion works (diffusion, latent diffusion, CLIP, and a lot more).
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