Nishant Shukla
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CS PhD UCLA. Author of "Machine Learning with TensorFlow" and "Haskell Data Analysis Cookbook"
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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Accompanying Source Code for the Haskell Data Analysis Cookbook
Regression analysis algorithms from ImageJ1 for easy use on Android and native Java
Simulates a cloth being held from random points (for robot cloth folding)
Implementation of MapReduce in Rust-Lang
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics (CoRL 2017)
Repositories
93Personal page
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Accompanying Source Code for the Haskell Data Analysis Cookbook
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
My solutions to exercises from Andrew Ng's course on Machine Learning
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Node-Based Learning of Multiple Gaussian Graphical Models ( http://arxiv.org/abs/1303.5145 )
VS Code extension to show nearest README.md file
Simulates a cloth being held from random points (for robot cloth folding)
Izhikevich neural model for SpiNNaker
For Ludum Dare 55 Game Jam
Regression analysis algorithms from ImageJ1 for easy use on Android and native Java
No description provided.
For Ludum Dare 54 GameJam (game in 48 hours)
Implementation of MapReduce in Rust-Lang
No description provided.
Automate your browser with GPT-4
A latent text-to-image diffusion model
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N-Queens problem with additional constraints
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Ludum Dare 43, a game in 48 hrs
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics (CoRL 2017)
No description provided.
Generates a shirt model from a CSV file, and simulates it being held from random points
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C++ library for the Spatial, Temporal, Causal And-Or Graph
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Image Analysis App on Android for Lander's Lab