data-in-motion VS CodeGen

Compare data-in-motion vs CodeGen and see what are their differences.

data-in-motion

This is repository for tutorials of Data In Motion starting with Data Distribution (by cdp-trial-patterns)

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex. (by salesforce)
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data-in-motion CodeGen
1 18
5 4,792
- 1.4%
8.1 6.1
7 months ago 2 months ago
Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

data-in-motion

Posts with mentions or reviews of data-in-motion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-23.

CodeGen

Posts with mentions or reviews of CodeGen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-23.

What are some alternatives?

When comparing data-in-motion and CodeGen you can also consider the following projects:

CoC2023 - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data

fauxpilot - FauxPilot - an open-source alternative to GitHub Copilot server

langchain4j-examples

pifs - πfs - the data-free filesystem!

CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock

FasterTransformer - Transformer related optimization, including BERT, GPT

llm-awq - [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

copilot

stable-audio-tools - Generative models for conditional audio generation

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

kafka-streams-dashboards - showcases Grafana dashboards for Kafka Stream applications leveraging client JMX metrics.

cformers - SoTA Transformers with C-backend for fast inference on your CPU.