PARSE-CLIP VS tsai

Compare PARSE-CLIP vs tsai and see what are their differences.

PARSE-CLIP

A simple CLIP based project for combining images from multiple datasets. (by vijishmadhavan)

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai (by timeseriesAI)
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PARSE-CLIP tsai
4 4
3 4,703
- 2.5%
0.0 7.4
about 2 years ago 14 days ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

PARSE-CLIP

Posts with mentions or reviews of PARSE-CLIP. We have used some of these posts to build our list of alternatives and similar projects.

tsai

Posts with mentions or reviews of tsai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-22.

What are some alternatives?

When comparing PARSE-CLIP and tsai you can also consider the following projects:

fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

darts - A python library for user-friendly forecasting and anomaly detection on time series.

fastai - The fastai deep learning library

sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.

nixtla - Python SDK for TimeGPT, a foundational time series model

mlforecast - Scalable machine 🤖 learning for time series forecasting.

gluonts - Probabilistic time series modeling in Python

dspytai - EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.

TGLSTM - Pytorch implementation of LSTM for irregular time series