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I work on Machine Learning
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Mail: [email protected]
Feel free to contact me for anything. I usually reply fast on mail and twitter.
Name: Siddharth Patel
Type: User
Company: SSB Digital
Bio: Matrix multiplication is all you need.
Twitter: Siddharth1India
Location: India
I work on Machine Learning
Mail: [email protected]
Feel free to contact me for anything. I usually reply fast on mail and twitter.
A comprehensive repository containing 30+ notebooks on learning machine learning!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Collection of Machine Learning projects covering most common topics
Minimalist theme Pomodoro timer
The variational quantum eigensolver (VQE) is generally used for finding the ground state energy of a given hamiltonian. To find the kth excited state energy of the hamiltonian we need to run the VQE optimization process at least k+1 times. Each time we also need to calculate the hamiltonian again, taking into account the state of the previous iteration. Even after that, the accuracy decreases as the value of k increases. The Subspace Search VQE (SSVQE) algorithm is used to find the kth excited-state energy of a hamiltonian in two subsequent optimization processes. Research on a more generalized version of SSVQE, namely Weighted SSVQE, shows that by using the weights as hyperparameters we can find the kth excited-state energy in just a single optimization process. There are two variants of this algorithm: Weighted SSVQE to find kth excited state energy, and weighted SSVQE to find all energies up to the kth excited state.
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
The backend part of the simple password manager project made for the creative challenge.
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Some thing interesting about visualization, use data art
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Data-Driven Documents codes.
China tencent open source team.