From: 08 August 2020 - To: 11 January 2026
Total Time: 1,325 hrs 4 mins
Python 473 hrs 57 mins █████████░░░░░░░░░░░░░░░░ 35.77 %
Julia 177 hrs 56 mins ███▒░░░░░░░░░░░░░░░░░░░░░ 13.43 %
Markdown 151 hrs 25 mins ███░░░░░░░░░░░░░░░░░░░░░░ 11.43 %
R 114 hrs 44 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 08.66 %
JSON 98 hrs 49 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 07.46 %
YAML 70 hrs 36 mins █▒░░░░░░░░░░░░░░░░░░░░░░░ 05.33 %
Bash 37 hrs 1 min ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.79 %
JavaScript 30 hrs 9 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.28 %
C++ 21 hrs 45 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 01.64 %
Other 17 hrs 42 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 01.34 %
🎯
Focusing
The Best Defense is a Good Offense.
Mathematics & Computing @ Birla Institute Of Technology
- Bangalore, Karnataka
-
20:18
(UTC +05:30) - https://rohitrathaur.in
- @rohit_rathore2
- https://calendly.com/rohit_rathore/connect-with-rohit-singh
Highlights
Pinned Loading
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SciML/Surrogates.jl
SciML/Surrogates.jl PublicSurrogate modeling and optimization for scientific machine learning (SciML)
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JuliaData/DataFrames.jl
JuliaData/DataFrames.jl PublicIn-memory tabular data in Julia
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SciML/NeuralPDE.jl
SciML/NeuralPDE.jl PublicPhysics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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MechanisticInterpretability
MechanisticInterpretability PublicMy playground for mechanistic interpretability
Jupyter Notebook
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pytorch/pytorch
pytorch/pytorch PublicTensors and Dynamic neural networks in Python with strong GPU acceleration
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