CodeSearchNet
awesome-speech-recognition-speech-synthesis-papers
| CodeSearchNet | awesome-speech-recognition-speech-synthesis-papers | |
|---|---|---|
| 2 | - | |
| 1,904 | 2,875 | |
| - | - | |
| 0.0 | 3.5 | |
| over 2 years ago | 7 months ago | |
| Jupyter Notebook | ||
| MIT License | MIT License |
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.
CodeSearchNet
-
Fine tuning
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
https://github.com/github/CodeSearchNet#downloading-data-from-s3
awesome-speech-recognition-speech-synthesis-papers
We haven't tracked posts mentioning awesome-speech-recognition-speech-synthesis-papers yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
data - Data and code behind the articles and graphics at FiveThirtyEight
lingvo - Lingvo
pycaret - An open-source, low-code machine learning library in Python
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
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!
Awesome-Efficient-LLM - A curated list for Efficient Large Language Models
trulens - Evaluation and Tracking for LLM Experiments
nnsvs-english-support - The Original Support for English NNSVS Dataset Creation
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
deepspeech-playbook - A crash course for training speech recognition models using DeepSpeech.