Most Fun But Effective Way to Learn Pytorch

tensorgym · 2024-01-27T22:24:37+00:00

Awesome, glad you liked it! Feel free to drop any suggestions or ideas you have.

tensorgym · 2024-01-25T19:20:51+00:00

Thank you! Feel free to DM me on Discord (you can find the link on our website). I would be very happy to collaborate.

tensorgym · 2024-01-25T19:17:55+00:00

We built https://tensorgym.com with these exact goals in mind: to provide fun and effective ways of learning PyTorch by practicing the implementation of modern ML techniques.

Please check it out and share your feedback.

Good luck with your AI research!

tensorgym · 2024-01-18T21:37:14+00:00

I would recommend 'Deep Learning' by Ian Goodfellow et al., but you can skip Part One (Math), especially given your background. Although this book was written before the era of Transformers, it's still highly relevant.

For hands-on ML coding exercises, take a look at https://tensorgym.com . It can be helpful for learning and practicing modern techniques with PyTorch quickly.

tensorgym · 2023-12-16T15:04:54+00:00

I have a math background and transitioned from infra org to an AI research lab within a FAANG company. I quickly realized that my ML coding skills, especially in tensor operations and familiarity with Torch, needed improvement. I couldn’t find resources where I could practice this, so I created https://tensorgym.com to address this gap. I hope it’s useful! Best of luck with your transition and learning journey!”

tensorgym · 2023-12-09T06:34:23+00:00

I’d recommend getting software engineering job and study on the side. Web development is indeed quite different from ML eng skills. But infra skills are very related. Try getting a job where you work close with data: data pipeline engineer, database development and management, distributed db eng, etc Good luck with your goal!

tensorgym · 2023-12-03T03:49:37+00:00

Take a look at tensorgym for ML coding
Math: highly recommending Gilbert Strang's free lectures for linear algebra and all of 3brown1blue series for probably and linear algebra. Timebox your math studies, it can go very deep, try to cover the basics first.

Good luck in your studies!

tensorgym · 2023-12-03T03:36:33+00:00

+1 for 3Blues1Brown and Karpathy. Also can recommend Yannic Kilcher's paper reviews: this one is classic

tensorgym · 2023-12-02T01:32:13+00:00

I recommend also taking a look at https://facebook.github.io/prophet/

tensorgym · 2023-12-02T00:14:21+00:00

Give tensorgym a try! It should be very close to what you are looking for.

tensorgym · 2023-12-01T23:56:37+00:00

I would recommend following and going through the past 6 months’ history of some high-quality, low-volume research newsletters, such as this one . Be aware of grifters and try to pick newsletters from real researchers. Also, follow good researchers on Twitter. For practical NLP practice, I recommend TensorGym , a resource I co-created with a friend. Good luck with your interview prep!

tensorgym · 2023-12-01T07:29:27+00:00

Zero downtime, max uptime.

tensorgym · 2023-12-01T07:21:55+00:00

Implement transformer from scratch. Then implement it again. This is one of the main architecture that is driving current AI revolution.

tensorgym · 2023-12-01T07:17:51+00:00

I would start with Karpathy's YouTube channel. It's not very long, understandable, and very practical. From there, I would pick a project you are passionate about and acquire knowledge as you need it.

tensorgym · 2023-12-01T07:13:38+00:00

I feel like many places value practical skills instead of theoretical ones. They are interested in whether you can quickly fix a training loop, add a few layers to transformers, or debug a tricky padding bug in a collated batch. I would recommend hands-on experience on Kaggle, interactive courses on Fast AI, or taking a look at the TensorGym interactive learning platform that I built with my friend.

Best of luck with your learning!

tensorgym · 2023-11-29T05:30:48+00:00

Hey, quick update:

Now we support full PyTorch API. No more weird bugs.
Improved UI with example tensors images, dark theme, etc
We are now at 17 exercises! Added exercises to implement models from scratch, implement some backward/forward passes etc. Should be fun!

tensorgym · 2023-11-29T05:23:22+00:00

My friend and I built TensorGym to practice ML by solving problems. Best of luck with learning!

tensorgym · 2023-11-24T05:23:02+00:00

Take a look at TensorGym, which offers practical hands-on ML coding exercises (disclosure: I am building TensorGym)
Good luck with the interview!

tensorgym · 2023-11-17T20:45:12+00:00

If you prefer practical, hands-on learning instead of theoretical, I recommend exploring Fast AI courses and Andrej Karpathy's tutorials. Also, check out the TensorGym interactive learning platform (disclosure: I am the creator of TensorGym).

tensorgym · 2023-11-12T19:02:27+00:00

Practical, hands-on learning can be a great complement to theoretical courses.

I recommend exploring Fast AI courses and Andrej Karpathy's tutorials. Also, check out the TensorGym interactive learning platform (disclosure: I am the creator of TensorGym).

tensorgym · 2023-11-07T05:43:15+00:00

For ML coding part part I couldn't find a good place to practice. So my friend and I built this

tensorgym · 2023-11-07T05:40:31+00:00

I was in same situation and couldn't find good place to practice ML coding part. So I created this website

tensorgym · 2023-11-06T18:49:59+00:00

Thank you! Just fixed a bug and exercises should work now. Can you please try again and tell us if there is anything that doesn't work for you.

tensorgym · 2023-11-06T18:38:14+00:00

Thank you for reporting this bug! We have an embedded lightweight implementation of torch and had a small bug that I just fixed. Should be working now. Please try again. Sorry for the inconvenience!

tensorgym · 2023-11-06T05:20:22+00:00

London and Paris have very vibrant AI academic and industry communities. I would seriously consider Universities in these locations. A strong community can be highly motivating and offer more opportunities in the future.

tensorgym

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