dify
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. (by langgenius)
pytorch-forecasting
Time series forecasting with PyTorch (by jdb78)
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featured
| dify | pytorch-forecasting | |
|---|---|---|
| 12 | 9 | |
| 25,645 | 3,611 | |
| 29.1% | - | |
| 9.9 | 8.6 | |
| 2 days ago | 7 days ago | |
| TypeScript | Python | |
| GNU General Public License v3.0 or later | MIT License |
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.
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.
dify
Posts with mentions or reviews of dify.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-29.
- FLaNK AI Weekly for 29 April 2024
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Dify, a visual workflow to build/test LLM applications
> https://github.com/langgenius/dify/blob/main/LICENSE
everyone is apparently a license pioneer
- Dify, an end-to-end, visualized workflow to build/test LLM applications
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GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
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Which LLM framework(s) do you use in production and why?
If you are looking to develop QnA or chat based apps then check out https://dify.ai. Do a quick check and see if it fit your requirements. You can integrate it with your app using the apis it provides
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New Discoveries in No-Code AI App Building with ChatGPT
As an AI newbie, I used to find coding apps from scratch an absolute nightmare! The learning curve was steep as a ski slope, debugging took endless hours, and developing even a simple AI app nearly drove me insane! But since discovering Dify, it has totally revolutionized my life by enabling app development without any coding skills!
- FLaNK Stack Weekly for 14 Aug 2023
- Interesting LLMOps Tools Dify.ai
- Dify.ai – Simply create and operate AI-native apps based on GPT-4
- langgenius/dify: One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.
pytorch-forecasting
Posts with mentions or reviews of pytorch-forecasting.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-14.
- FLaNK Stack Weekly for 14 Aug 2023
-
Pytorch Lstm
Source: Conversation with Bing, 4/5/2023 (1) jdb78/pytorch-forecasting: Time series forecasting with PyTorch - GitHub. https://github.com/jdb78/pytorch-forecasting. (2) Time Series Prediction with LSTM Using PyTorch - Colaboratory. https://colab.research.google.com/github/dlmacedo/starter-academic/blob/master/content/courses/deeplearning/notebooks/pytorch/Time_Series_Prediction_with_LSTM_Using_PyTorch.ipynb. (3) time-series-classification · GitHub Topics · GitHub. https://github.com/topics/time-series-classification. (4) PyTorch: Dataloader for time series task - Stack Overflow. https://stackoverflow.com/questions/57893415/pytorch-dataloader-for-time-series-task.
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[D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?
Temporal fusion transformer https://github.com/jdb78/pytorch-forecasting
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LSTM/CNN architectures for time series forecasting[Discussion]
Pytorch-forecasting
- Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR
- Can someone help me with this? it's been days that i struggle with this problem
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[P] Beware of false (FB-)Prophets: Introducing the fastest implementation of auto ARIMA [ever].
To name a few: https://github.com/jdb78/pytorch-forecasting, https://github.com/unit8co/darts, https://github.com/Nixtla/neuralforecast
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When to go for an 'easy' time-series model vs. using a complex deep learning model (when having experience with the latter)
I'm a data trainee at this organisation. I wrote my master thesis about using an event clustering mechanism to enrich an existing dataset to improve short-term demand predictions, using Pytorch Forecasting using the temporal fusion transformer component, and LightGBM (and compare the models with and w/o the event feature, so 4 runs in total).
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A python library for easy manipulation and forecasting of time series.
Darts is a pretty nice one. I've recently been using pytorch-forecasting for larger models like the Temporal Fusion Transformer. https://github.com/jdb78/pytorch-forecasting
What are some alternatives?
When comparing dify and pytorch-forecasting you can also consider the following projects:
langchain-llm-katas - This is a an open-source project designed to help you improve your skills with AI engineering using LLMs and the langchain library
darts - A python library for user-friendly forecasting and anomaly detection on time series.
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
chainlit - Build Conversational AI in minutes ⚡️
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®
tslearn - The machine learning toolkit for time series analysis in Python
dify vs langchain-llm-katas
pytorch-forecasting vs darts
dify vs litellm
pytorch-forecasting vs Prophet
dify vs chainlit
pytorch-forecasting vs neuralforecast
dify vs duet-gpt
pytorch-forecasting vs Lime-For-Time
dify vs IncognitoPilot
pytorch-forecasting vs pytorch-lightning
dify vs jdbc-connector-for-apache-kafka
pytorch-forecasting vs tslearn