CodeSearchNet VS awesome-speech-recognition-speech-synthesis-papers

Compare CodeSearchNet vs awesome-speech-recognition-speech-synthesis-papers and see what are their differences.

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CodeSearchNet awesome-speech-recognition-speech-synthesis-papers
2 0
1,904 2,848
- -
0.0 3.5
about 2 years ago 5 months ago
Jupyter Notebook
MIT License MIT License
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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

awesome-speech-recognition-speech-synthesis-papers

Posts with mentions or reviews of awesome-speech-recognition-speech-synthesis-papers. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning awesome-speech-recognition-speech-synthesis-papers yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing CodeSearchNet and awesome-speech-recognition-speech-synthesis-papers you can also consider the following projects:

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

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

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

lingvo - Lingvo

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!

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

trulens - Evaluation and Tracking for LLM Experiments

MetalTranslate - Customizable machine translation in C++

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

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.