Transformer-Models-from-Scratch VS tsai

Compare Transformer-Models-from-Scratch vs tsai and see what are their differences.

Transformer-Models-from-Scratch

implementing various transformer models for various tasks (by hbchen-one)
Pytorch Transformer machine-translation Math text-classification
Source Code
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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)
time-series-classification Deep Learning Fastai Pytorch Timeseries time-series sequential time-series-analysis Transformer Cnn Rnn state-of-the-art self-supervised Classification Regression Forecasting inceptiontime Rocket Machine Learning Python
Source Code
timeseriesai.github.io
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Transformer-Models-from-Scratch tsai
1 4
62 4,730
- 2.5%
0.0 7.4
about 2 years ago 17 days ago
Jupyter Notebook Jupyter Notebook
- 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.
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Transformer-Models-from-Scratch

Posts with mentions or reviews of Transformer-Models-from-Scratch. 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 Transformer-Models-from-Scratch and tsai you can also consider the following projects:

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

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

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

emotion-classifier - An attention-based BiLSTM for emotion classification.

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

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

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.

Transformer-Models-from-Scratch vs OpenNMT-py tsai vs darts Transformer-Models-from-Scratch vs pytorch-seq2seq tsai vs sktime-dl Transformer-Models-from-Scratch vs ganbert-pytorch tsai vs statsforecast Transformer-Models-from-Scratch vs emotion-classifier tsai vs flow-forecast Transformer-Models-from-Scratch vs tf-transformers tsai vs neuralforecast tsai vs nixtla tsai vs mlforecast