https://pypi.tw.martin98.com/project/autograd/ Recent updates to the Python Package Index for autograd en https://pypi.tw.martin98.com/project/autograd/1.8.0/ Efficiently computes derivatives of NumPy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu, j.h.n.townsend@uva.nl Mon, 05 May 2025 12:49:00 GMT https://pypi.tw.martin98.com/project/autograd/1.7.0/ Efficiently computes derivatives of NumPy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu, j.h.n.townsend@uva.nl Thu, 22 Aug 2024 19:07:12 GMT https://pypi.tw.martin98.com/project/autograd/1.6.2/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Fri, 23 Jun 2023 08:36:38 GMT https://pypi.tw.martin98.com/project/autograd/1.6.1/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Thu, 22 Jun 2023 20:50:39 GMT https://pypi.tw.martin98.com/project/autograd/1.6/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Thu, 22 Jun 2023 12:47:35 GMT https://pypi.tw.martin98.com/project/autograd/1.5/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Thu, 29 Sep 2022 07:09:36 GMT https://pypi.tw.martin98.com/project/autograd/1.4/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Fri, 08 Apr 2022 08:55:43 GMT https://pypi.tw.martin98.com/project/autograd/1.3/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Thu, 25 Jul 2019 16:21:07 GMT https://pypi.tw.martin98.com/project/autograd/1.2/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Sun, 05 Nov 2017 15:42:23 GMT https://pypi.tw.martin98.com/project/autograd/1.1.13/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Thu, 24 Aug 2017 17:00:41 GMT https://pypi.tw.martin98.com/project/autograd/1.1.12/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Fri, 18 Aug 2017 01:17:51 GMT https://pypi.tw.martin98.com/project/autograd/1.1.11/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Tue, 11 Jul 2017 16:08:37 GMT https://pypi.tw.martin98.com/project/autograd/1.1.10/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Tue, 25 Apr 2017 15:36:13 GMT https://pypi.tw.martin98.com/project/autograd/1.1.9/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Sun, 12 Mar 2017 06:34:53 GMT https://pypi.tw.martin98.com/project/autograd/1.1.8/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Sun, 12 Mar 2017 06:32:59 GMT https://pypi.tw.martin98.com/project/autograd/1.1.7/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Wed, 26 Oct 2016 14:12:12 GMT https://pypi.tw.martin98.com/project/autograd/1.1.6/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Thu, 04 Aug 2016 16:04:22 GMT https://pypi.tw.martin98.com/project/autograd/1.1.5/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, duvenaud@cs.toronto.edu, mattjj@csail.mit.edu Fri, 17 Jun 2016 22:11:50 GMT https://pypi.tw.martin98.com/project/autograd/1.1.4/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu, mattjj@csail.mit.edu Thu, 10 Mar 2016 20:47:05 GMT https://pypi.tw.martin98.com/project/autograd/1.1.3/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu, mattjj@csail.mit.edu Tue, 01 Dec 2015 20:43:51 GMT https://pypi.tw.martin98.com/project/autograd/1.1.2/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu, mattjj@csail.mit.edu Sat, 07 Nov 2015 16:46:28 GMT https://pypi.tw.martin98.com/project/autograd/1.1.1/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu, mattjj@csail.mit.edu Tue, 27 Oct 2015 21:36:08 GMT https://pypi.tw.martin98.com/project/autograd/1.1.0/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu, mattjj@mit.edu Mon, 26 Oct 2015 21:24:13 GMT https://pypi.tw.martin98.com/project/autograd/1.0.9/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Tue, 29 Sep 2015 18:35:43 GMT https://pypi.tw.martin98.com/project/autograd/1.0.7/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Tue, 29 Sep 2015 18:33:25 GMT https://pypi.tw.martin98.com/project/autograd/1.0.6/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Fri, 25 Sep 2015 20:27:47 GMT https://pypi.tw.martin98.com/project/autograd/1.0.5/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Fri, 25 Sep 2015 17:25:51 GMT https://pypi.tw.martin98.com/project/autograd/1.0.4/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Mon, 24 Aug 2015 19:56:40 GMT https://pypi.tw.martin98.com/project/autograd/1.0.3/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Thu, 11 Jun 2015 18:57:14 GMT https://pypi.tw.martin98.com/project/autograd/1.0.2/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Thu, 30 Apr 2015 02:58:09 GMT https://pypi.tw.martin98.com/project/autograd/1.0.1/ Efficiently computes derivatives of numpy code. maclaurin@physics.harvard.edu, dduvenaud@seas.harvard.edu Fri, 10 Apr 2015 16:15:56 GMT