handson-ml VS CodeSearchNet

Compare handson-ml vs CodeSearchNet and see what are their differences.

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handson-ml CodeSearchNet
1 2
25,016 1,904
- -
1.3 0.0
about 2 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of handson-ml. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning handson-ml yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of CodeSearchNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-04.
  • Fine tuning
    2 projects | /r/ChatGPTCoding | 4 Apr 2023
    The CodeSearchNet challenge provides a dataset of code documentation comments, along with pre-trained models and fine-tuning scripts. You can find the challenge and resources at https://github.com/github/CodeSearchNet.
  • Speedtyper.dev: Type racing for programmers
    2 projects | /r/webdev | 16 Jan 2021

What are some alternatives?

When comparing handson-ml and CodeSearchNet you can also consider the following projects:

data - Data and code behind the articles and graphics at FiveThirtyEight

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

trulens - Evaluation and Tracking for LLM Experiments

Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

pycaret - An open-source, low-code machine learning library in Python

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions

azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

MetalTranslate - Customizable machine translation in C++

dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.