Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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- deep-reinforcement-learning
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
TensorFlow examples
A scikit-learn compatible neural network library that wraps PyTorch
Simple tutorials using Google's TensorFlow Framework
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Performance analysis of predictive (alpha) stock factors
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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
Open-source demos hosted on Dash Gallery
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Implementing a Neural Network from Scratch
Code for the ProteinMPNN paper
Python implementation of CMA-ES
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.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
WebGL accelerated JavaScript molecular graphics library
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
TensorFlow Implementation of "Show, Attend and Tell"
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano