Top 23 Jupyter Notebook Tutorial Projects
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).Project mention: Ask HN: How can I learn about video encoding, h.264, ffmpeg, etc. | news.ycombinator.com | 2022-04-01
A good high-level breakdown of H.264: https://sidbala.com/h-264-is-magic/
Associated HN post (although there have been a few): https://news.ycombinator.com/item?id=30710574
More technical: https://github.com/leandromoreira/digital_video_introduction...
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
TensorFlow Tutorials with YouTube Videos
Best Practices, code samples, and documentation for Computer Vision.Project mention: How is accuracy calculated in multi label classification | reddit.com/r/MLQuestions | 2022-01-31
Practice your pandas skills!Project mention: [NBS Accountancy] Ranking and Tiering every core modules with description)! Hope this will be fun read for the current/past Accountancy students, and helpful for incoming batch of Accountancy students :)) | reddit.com/r/NTU | 2022-05-31
Tips: For quiz 1, I used this whereas for quiz 2, I used this to revise. I cannot conclude whether they really helped in the end since the quiz results aren't released, but managed to nab an A for this mod so there's that.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.Project mention: [D] How to truly understand attention mechanism in transformers? | reddit.com/r/MachineLearning | 2021-10-29
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.Project mention: Ich habe einen Bot gebastelt für Ovalwichs | reddit.com/r/ovalwichs | 2022-03-25
Developer Ecosystem Survey 2022. Take part in the Developer Ecosystem Survey 2022 by JetBrains and get a chance to win a Macbook, a Nvidia graphics card, or other prizes. We’ll create an infographic full of stats, and you’ll get personalized results so you can compare yourself with other developers.
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
A collection of Jupyter notebooks showing how to use the Qiskit SDKProject mention: IBM Certified Associate Developer - Is the study guide enough? | reddit.com/r/QuantumComputing | 2021-11-13
I've completed my exam about a month ago. From official resources, I recommend this https://github.com/Qiskit/qiskit-tutorials/tree/master/tutorials/circuits
Learn Julia via interactive tutorials!Project mention: Looking for an Open Source Project? Try Julia. | dev.to | 2021-10-04
Additionally, there are tons of resources available to learn Julia. Visit https://julialang.org/learning/ for a complete list of educational resources. The resources are categorized by learning style.
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn UniversityProject mention: PGWAD pool updates and some learning materials | reddit.com/r/CardanoStakePools | 2022-03-07
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
An intro to Python & programming for wanna-be data scientists
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.Project mention: neural networks project | reddit.com/r/learnmachinelearning | 2022-03-29
https://github.com/bentrevett/pytorch-image-classification You can find plethora of options like the one above that I have sent, just google it, After mnist usually people go for image classification for differentiating between cats and dogs
A tutorial on Julia DataFrames packageProject mention: How do I access a specific column/row based on the column name and/or row value with an indexed table? | reddit.com/r/Julia | 2021-08-15
Take a look at the these notebooks: https://github.com/bkamins/Julia-DataFrames-Tutorial
Combining Psi4 and Numpy for education and development.
Data Science Feature Engineering and Selection TutorialsProject mention: How to balance multiple time series data? | reddit.com/r/datascience | 2022-03-08
I’ve actually solved a similar problem several times in a variety of settings. I’ve had success with boosted trees and feature engineering on the sensor readings over time. I treat each reading as an observation and set the target to be the value I want to forecast (e.g. one hour ahead, the sum over the next day, the value at the same time the next day). There was a recent paper that compared boosted trees to deep learning techniques and found the boosted trees performed really well. Next, I perform feature engineering to aggregate the data up to the current time. These features will include the current value, lagged values over multiple observations for that sensor, more complicated features from moving statistics over different time scales, etc. I actually wrote a blog about creating these features using the open-source package RasgoQL and have similar types of features shared in the open-source repository here. I have also had success creating these sorts of historical features using the tsfresh package. Finally, when evaluating the forecast, use a time based split so earlier data is used to train the model and later data to evaluate the model.
Anomaly detection tutorial on univariate time series with an auto-encoder
Jupyter notebooks for tutorial on the Z3 SMT solver
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
Best practices for engineering ML pipelines.Project mention: Engineering ML Pipelines - Part 2 of 3 | reddit.com/r/mlops | 2021-07-27
Part One was all about getting setup and ready for the main event that is Part Two - developing the pipeline:
Source code for Big Python tutorials on YouTube
Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/Project mention: [D] My new blog post "Understanding the EM Algorithm" | reddit.com/r/MachineLearning | 2021-10-30
The EM algorithm is very straightforward to understand with one or two proof-of-concept examples. However, if you really want to understand how it works, it may take a while to walk through the math. The purpose of this article is to establish a good intuition for you, while also provide the mathematical proofs for interested readers. The codes for all the examples mentioned in this article can be found at https://github.com/mistylight/Understanding_the_EM_Algorithm.
Jupyter Notebook Tutorial related posts
[NBS Accountancy] Ranking and Tiering every core modules with description)! Hope this will be fun read for the current/past Accountancy students, and helpful for incoming batch of Accountancy students :))
1 project | reddit.com/r/NTU | 31 May 2022
Ich habe einen Bot gebastelt für Ovalwichs
1 project | reddit.com/r/ovalwichs | 25 Mar 2022
Using mean on numeric columns of a GroupedDataFrame
1 project | reddit.com/r/Julia | 22 Jan 2022
Associate Data Scientist @ IBM?
2 projects | reddit.com/r/learnpython | 18 Jan 2022
PySpark exercises for practice?
2 projects | reddit.com/r/apachespark | 14 Dec 2021
German language sentiment classification - NLP Deep Learning
1 project | reddit.com/r/learnmachinelearning | 15 Sep 2021
How do I access a specific column/row based on the column name and/or row value with an indexed table?
2 projects | reddit.com/r/Julia | 15 Aug 2021
What are some of the best open-source Tutorial projects in Jupyter Notebook? This list will help you:
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