Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
TensorFlow Tutorials with YouTube Videos
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Lectures on scientific computing with python, as IPython notebooks.
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
Quantitative analysis, strategies and backtests
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TranslatedCAPTCHA recognition
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Neural question generation using transformers
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
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
food image to recipe with deep convolutional neural networks.
The repository host gives no description.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.