The zfit package is a model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience. Code can be found in https://github.com/zfit/zfit/ and documentation can be found in https://zfit.github.io/zfit/
Major Features and Improvements Support Python 3.9 Support TensorFlow 2.5 improved compilation in t...
Major Features and Improvements reduce the memory footprint on (some) fits, especially repetitive (...
Kernel Density Estimation in 1 dimension for large data sets. Overview (https://zfit.readthedocs.io/...
The zfit package is a model manipulation and fitting library based on TensorFlow and optimised for s...
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manip...
Statistical modeling is a key element in many scientific fields and especially in High-Energy Physic...
zfit is a model fitting library completely implemented in Python and based on the Deep Learning fram...
zfit is a scalable, pythonic model fitting library that aims at implementing likelihood fits in HEP....
Public release of binned fits and upgrade to Python 3.10 and TensorFlow 2.9. While binned fits are n...
Major Features and Improvements add Python 3.9 support upgrade to TensorFlow 2.5 Bug fixes and sma...
Add Kernel density estimation for 1 dimension. Major Features and Improvements add correlation meth...
Added many new minimizers from different libraries, all with uncertainty estimation available. All c...
Add in setup and requirements that matplotlib>=3.6.3If you use this software, please cite it using t...
Support for Python 3.8 with TensorFlow 2.2 version. Minor bugfixes. Major Features and Improvements ...
With 0.3.2, bugfixes and three changes in the API/behavior Breaking changes tfp distributions wrapp...
Major Features and Improvements Support Python 3.9 Support TensorFlow 2.5 improved compilation in t...
Major Features and Improvements reduce the memory footprint on (some) fits, especially repetitive (...
Kernel Density Estimation in 1 dimension for large data sets. Overview (https://zfit.readthedocs.io/...
The zfit package is a model manipulation and fitting library based on TensorFlow and optimised for s...
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manip...
Statistical modeling is a key element in many scientific fields and especially in High-Energy Physic...
zfit is a model fitting library completely implemented in Python and based on the Deep Learning fram...
zfit is a scalable, pythonic model fitting library that aims at implementing likelihood fits in HEP....
Public release of binned fits and upgrade to Python 3.10 and TensorFlow 2.9. While binned fits are n...
Major Features and Improvements add Python 3.9 support upgrade to TensorFlow 2.5 Bug fixes and sma...
Add Kernel density estimation for 1 dimension. Major Features and Improvements add correlation meth...
Added many new minimizers from different libraries, all with uncertainty estimation available. All c...
Add in setup and requirements that matplotlib>=3.6.3If you use this software, please cite it using t...
Support for Python 3.8 with TensorFlow 2.2 version. Minor bugfixes. Major Features and Improvements ...
With 0.3.2, bugfixes and three changes in the API/behavior Breaking changes tfp distributions wrapp...
Major Features and Improvements Support Python 3.9 Support TensorFlow 2.5 improved compilation in t...
Major Features and Improvements reduce the memory footprint on (some) fits, especially repetitive (...
Kernel Density Estimation in 1 dimension for large data sets. Overview (https://zfit.readthedocs.io/...
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