Shashank Shekhar 🚀
@ShashankData
Data Scientist | Computer Vision | NLP | Azure
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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
maven.com
Scratch to Scale: Large-Scale Training in the Modern World by Zachary Mueller on Maven
Learn the techniques used today to take your model training from Colab to Clusters
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…
github.com
GitHub - huggingface/deep-rl-class: This repo contains the Hugging Face Deep Reinforcement Learning...
This repo contains the Hugging Face Deep Reinforcement Learning Course. - huggingface/deep-rl-class
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 👇
Some techniques for optimizing inference speeds (without changing the model architecture): (1) Parallelization (2) Vectorization (3) Loop tiling (4) Operator fusion (5) Quantization Anything missing? [1/6]
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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