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Top 18 Jupyter Notebook Lstm Projects
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pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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autoFoley
Model : Give me a silent video...And I'm gonna to tell you what's happening in the video.. Will also add a new relevant background audio each time you use me. ..Thanks to deep Learning!!
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dspytai
EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
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Twitter-sentiment-analysis
A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
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tolkien-char-prescription-drug
Bilbo, Silenor, Avandaryl, Nardil, Cymbalta. Only one of those is actually a Tolkien character. Could we solve this problem using artificial neural networks?
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: stock-prediction-deep-neural-learning: NEW Deep Learning And Reinforcement Learning - star count:352.0 | /r/algoprojects | 2023-08-28
The best thing I've found on Google is this old AutoFoley experiment from Feb 2020 and a GitHub project, but it's all very rough around the edges. It's also based around IPYNB files for Google Colab, instead of using a local NVIDIA video card.
Jupyter Notebook Lstm related posts
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source Lstm projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | pytorch-seq2seq | 5,138 |
2 | pytorch-sentiment-analysis | 4,211 |
3 | LSTM-Human-Activity-Recognition | 3,265 |
4 | DeepLearningForNLPInPytorch | 1,901 |
5 | telemanom | 950 |
6 | stock-prediction-deep-neural-learning | 431 |
7 | gym-continuousDoubleAuction | 136 |
8 | recurrent-ppo-truncated-bptt | 100 |
9 | TensorFlow2.0_Notebooks | 37 |
10 | virnet | 29 |
11 | autoFoley | 21 |
12 | Time-Series-Forecasting-Using-LSTM | 13 |
13 | dspytai | 7 |
14 | Next_Frame_Prediction | 3 |
15 | sc2eval | 2 |
16 | Twitter-sentiment-analysis | 2 |
17 | TSAI-DeepNLP-END2.0 | 0 |
18 | tolkien-char-prescription-drug | 0 |