deep-learning-v2-pytorch
neuralforecast
deep-learning-v2-pytorch | neuralforecast | |
---|---|---|
1 | 84 | |
5,180 | 2,432 | |
0.5% | 4.9% | |
0.0 | 9.0 | |
10 months ago | 10 days ago | |
Jupyter Notebook | Python | |
MIT License | Apache License 2.0 |
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.
deep-learning-v2-pytorch
-
how can i activate the cells in this github
in this link deep-learning-v2-pytorch/StudentAdmissions.ipynb at master · udacity/deep-learning-v2-pytorch · GitHub
neuralforecast
- [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
- neuralforecast: NEW Data - star count:1877.0
- neuralforecast: NEW Data - star count:1773.0
- neuralforecast: NEW Data - star count:1749.0
- neuralforecast: NEW Data - star count:1696.0
- neuralforecast: NEW Data - star count:1663.0
What are some alternatives?
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
darts - A python library for user-friendly forecasting and anomaly detection on time series.
stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.
pytorch-forecasting - Time series forecasting with PyTorch
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
nixtla - Python SDK for TimeGPT, a foundational time series model
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
glasses - High-quality Neural Networks for Computer Vision 😎
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).