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

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

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awesome-speech-recognition-speech-synthesis-papers CodeSearchNet
- 2
2,870 1,904
- -
3.5 0.0
6 months ago about 2 years ago
Jupyter Notebook
MIT License MIT License
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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.

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 awesome-speech-recognition-speech-synthesis-papers and CodeSearchNet 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!

lingvo - Lingvo

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

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

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

Awesome-Efficient-LLM - A curated list for Efficient Large Language Models

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!

nnsvs-english-support - The Original Support for English NNSVS Dataset Creation

trulens - Evaluation and Tracking for LLM Experiments

deepspeech-playbook - A crash course for training speech recognition models using DeepSpeech.

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