pejorative-compounds
data-in-motion
pejorative-compounds | data-in-motion | |
---|---|---|
7 | 1 | |
89 | 5 | |
- | - | |
0.0 | 8.1 | |
almost 2 years ago | 6 months ago | |
Jupyter Notebook | ||
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.
pejorative-compounds
- FLaNK Stack Weekly 23 Oct 2023
-
Language! (and frequency)
OOP included only about 10% of the data, the full dataset is here.
-
Reddit wirklich verstehen
Github: https://github.com/colinmorris/pejorative-compounds
- [OC] Frequency of compound insults (e.g. "poophead", "scumwad") in Reddit comments, organized by prefix and suffix
data-in-motion
What are some alternatives?
libass - libass is a portable subtitle renderer for the ASS/SSA (Advanced Substation Alpha/Substation Alpha) subtitle format.
CoC2023 - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data
stable-audio-tools - Generative models for conditional audio generation
langchain4j-examples
amazon-bedrock-with-builder-and-command-patterns - A simple, yet powerful implementation in Java that allows developers to write a rather straightforward code to create the API requests for the different foundation models supported by Amazon Bedrock.
CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock
llm-awq - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
localsend - An open-source cross-platform alternative to AirDrop
CodeGen - CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
kafka-streams-dashboards - showcases Grafana dashboards for Kafka Stream applications leveraging client JMX metrics.