AI · alternatives · 2026
24 alternatives to Python Deep Learning Projects | Book
Applied Deep Learning from Data Collection to Production
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Python Deep Learning Projects | Book launched in 2018; newer entries below may have overtaken it.
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Learning machine learning has never been easier
2017 · amazon.com · its alternatives →
- 2IC
A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.
2019 · its alternatives →
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Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
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2019 · zecoda.com · its alternatives →
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A simple neural network for python autocompletion. Contribute to vpj/python_autocomplete development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 7
I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
2025 · github.com · its alternatives →
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Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
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Python dev to an NLP data scientist with practical projects
2022 · its alternatives →
- 11
2021 · nn.labml.ai · its alternatives →
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I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…
2022 · courses.dibya.online · its alternatives →
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A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
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Deep-ML▲13We just launched Deep-ML Labs, a new section on Deep-ML Each Lab is a hands-on challenge where you implement parts of real models, activations, layers, optimizers, normalization, even small transformers — directly in PyTorch (and sometimes NumPy). You can test your implementations on actual datasets, see how your results compare to others, and understand what’s really happening under the hood of deep learning frameworks. let me know what you guys think and if we should work on making more of these questions
2025 · deep-ml.com · its alternatives →
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Learn deep learning reading answers, like stackoverflow.
2021 · github.com · its alternatives →
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By Rishabh Singh, Jacob Devlin, Abdelrahman Mohamed, and Pushmeet Kohli, Microsoft Research Despite the many advances in computing over the past decades, the actual process of writing computer software has not fundamentally changed — a programmer must manually code the exact algorithmic logic of a p
2017 · microsoft.com · its alternatives →
- 17MM
2020 · mlpowered.com · its alternatives →
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Hi everyone! I just released the Practical Python Projects book! (https://practicalpython.yasoob.me) I am happy to announce the first version as a release candidate. I have poured a lot of love into writing this book and would love to hear what you guys think. (A limited 100% off and discount coupons at the end) This is not a pure beginner book. The book does assume some background Python knowledge. You need to know the basics like methods, functions, classes, and such. If I use something that is not typically covered in beginner Python books, I will explain it before I use it.…
2021 · practicalpython.yasoob.me · its alternatives →
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Weights & Biases▲110Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
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A curated list of awesome deep learning projects
2017 · deeplearninggallery.com · its alternatives →
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Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models
2016 · github.com · its alternatives →
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Learn how to create end-to-end projects/programs using Python. This book will help you level up and deploy working projects and learn new Python skills along the way.
2021 · feld.to · its alternatives →
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