LSTM-Human-Activity-Recognition
autoFoley
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| LSTM-Human-Activity-Recognition | autoFoley | |
|---|---|---|
| 1 | 1 | |
| 3,265 | 21 | |
| - | - | |
| 0.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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LSTM-Human-Activity-Recognition
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[P] Blog post: Learning JAX by Learning to Learn
Code for https://arxiv.org/abs/1606.04474 found: https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition
autoFoley
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Progress into AI audio foley models?
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.
What are some alternatives?
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.
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
learning-to-learn-jax - JAX implementation of Learning to learn by gradient descent by gradient descent
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
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.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
chicksexer - A Python package for gender classification.
sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.
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?