eli5
CodeSearchNet
eli5 | CodeSearchNet | |
---|---|---|
1 | 2 | |
2,730 | 1,904 | |
0.8% | - | |
0.0 | 0.0 | |
about 2 years ago | over 2 years ago | |
Jupyter Notebook | 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.
eli5
-
How to extract keywords important to a text classification problem?
https://github.com/TeamHG-Memex/eli5 can help you.
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
What are some alternatives?
lime - Lime: Explaining the predictions of any machine learning classifier
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
data - Data and code behind the articles and graphics at FiveThirtyEight
ML-Workspace - š All-in-one web-based IDE specialized for machine learning and data science.
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)
course-nlp - A Code-First Introduction to NLP course
pycaret - An open-source, low-code machine learning library in Python
graph_summarizer - summarize text using graphs and language vector models
pytorch-GAT - My implementation of the original GAT paper (VeliÄkoviÄ 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!
mlforecast - Scalable machine š¤ learning for time series forecasting.
trulens - Evaluation and Tracking for LLM Experiments