BuildML VS CodeSearchNet

Compare BuildML vs CodeSearchNet and see what are their differences.

BuildML

Code for the ML Editor from the book "Building ML Powered Applications" (by vidyabhandary)
Machinelearning machinelearning-python NLP Flask nlp-machine-learning

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CodeSearchNet

Datasets, tools, and benchmarks for representation learning of code. (by github)
Deep Learning Natural Language Processing programming-language-theory Machine Learning Tensorflow Datasets Data Science machine-learning-on-source-code representation-learning neural-networks Python ML open-data Data Cnn Rnn self-attention Bert NLP nlp-machine-learning

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BuildML CodeSearchNet
1 2
0 1,904
- -
1.0 0.0
over 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

BuildML

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

CodeSearchNet

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
    https://github.com/github/CodeSearchNet#downloading-data-from-s3

What are some alternatives?

When comparing BuildML and CodeSearchNet you can also consider the following projects:

amazon-denseclus - Clustering for mixed-type data

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

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

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)

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

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

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

MetalTranslate - Customizable machine translation in C++

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.

creative-prediction - Creative Prediction with Neural Networks

BuildML vs amazon-denseclus CodeSearchNet vs AI-For-Beginners CodeSearchNet vs data CodeSearchNet vs awesome-speech-recognition-speech-synthesis-papers CodeSearchNet vs pycaret CodeSearchNet vs pytorch-GAT CodeSearchNet vs trulens CodeSearchNet vs SimpNet-Deep-Learning-in-a-Shader CodeSearchNet vs MetalTranslate CodeSearchNet vs eli5 CodeSearchNet vs azureml-examples CodeSearchNet vs creative-prediction