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
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
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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
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Massively parallel rigidbody physics simulation on accelerator hardware.
Quantitative analysis, strategies and backtests
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Pathology Foundation Model - Nature Medicine
food image to recipe with deep convolutional neural networks.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
GeneCompass
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Docker container for Kafka - Spark Streaming - Cassandra
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Human Protein Atlas image classification competition
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.