pymc-devs/pytensor
Jun 2025 – Jul 2025
2 Months active
Languages Used
CPythonC++
Technical Skills
Mathematical FunctionsNumerical ComputingScientific ComputingTestingC ProgrammingC++
Abhinav-Khot
PROFILE
Abhinav-khot
Over a two-month period, contributed to the pymc-devs/pytensor repository by enhancing the Psi (digamma) function to robustly support negative inputs, including negative integers, through the reflection formula. This work involved implementing careful numerical methods in C and Python, ensuring type consistency and accurate handling of edge cases such as returning infinity for negative integers. GPU support was added via conditional kernels, maintaining parity between CPU and GPU execution paths. Extensive testing compared results against SciPy to validate correctness and improve reliability. The consolidated feature expanded the function’s applicability and accuracy for scientific and probabilistic computing across diverse hardware environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
167
Activity Months2
Your Network
60 peopleSame Organization
@iitgn.ac.in10
Shared Repositories
50
Work History
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for pymc-devs/pytensor: Delivered a robust Psi (Digamma) function enhancement with support for negative inputs, including the reflection formula, and GPU support via conditional kernels. Implemented careful numerical constants and ensured type consistency, accompanied by strengthened tests to be robust to floating-point variations. The work consolidates improvements into a single user-facing feature, expanding accuracy and applicability across CPU and GPU environments, reducing edge-case failures and improving reliability for probabilistic computations.
4 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for pymc-devs/pytensor: Delivered a robust Psi (Digamma) function enhancement with support for negative inputs, including the reflection formula, and GPU support via conditional kernels. Implemented careful numerical constants and ensured type consistency, accompanied by strengthened tests to be robust to floating-point variations. The work consolidates improvements into a single user-facing feature, expanding accuracy and applicability across CPU and GPU environments, reducing edge-case failures and improving reliability for probabilistic computations.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Focused on expanding numerical robustness and achieving parity with SciPy for critical edge-case inputs in pytensor. Delivered negative-input support for the digamma (Psi) function via the reflection formula, including handling of negative numbers and negative integers (returning infinity where appropriate). Added tests that compare results against SciPy to validate correctness. No major bugs fixed this month; emphasis on reliability and test coverage to reduce downstream modeling errors.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Focused on expanding numerical robustness and achieving parity with SciPy for critical edge-case inputs in pytensor. Delivered negative-input support for the digamma (Psi) function via the reflection formula, including handling of negative numbers and negative integers (returning infinity where appropriate). Added tests that compare results against SciPy to validate correctness. No major bugs fixed this month; emphasis on reliability and test coverage to reduce downstream modeling errors.
Activity
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Quality Metrics
Correctness90.0%
Maintainability92.0%
Architecture84.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Python
Technical Skills
C ProgrammingC++GPU ComputingMathematical FunctionsNumerical ComputationNumerical ComputingNumerical MethodsPython ProgrammingScientific ComputingTestingType System
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline