Giters
HIPS
/
autograd
Efficiently computes derivatives of numpy code.
Geek Repo:
Geek Repo
Github PK Tool:
Github PK Tool
Stargazers:
6860
Watchers:
216
Issues:
395
Forks:
904
HIPS/autograd Issues
copy.deepcopy leads to incorrect gradient
Updated
18 days ago
Comments count
1
Saving `ArrayBox` to hdf5 file
Updated
a month ago
`'ArrayBox' object has no attribute 'dot'` when differentiating function containing `x.dot(y)`
Updated
a month ago
Comments count
1
Python 2 and dependency on future
Updated
2 months ago
Comments count
2
autograd return nan with to norm function
Updated
3 months ago
Release new version 1.6.3 on PyPI
Updated
4 months ago
Support for advanced library based on autograd
Closed
7 months ago
Comments count
4
[BUG] Differentiating `autograd.numpy.linalg.norm` gives incorrect results
Updated
7 months ago
Autograd for quantum circuits
Updated
7 months ago
check_grads (forward mode) fails on a simple custom function
Updated
8 months ago
Comments count
1
np.issubdtype(np.int32, np.integer) fails
Updated
8 months ago
Comments count
1
np.array([object()]) fails
Updated
8 months ago
Autograd ArrayBox with value issue
Updated
8 months ago
Comments count
1
How to define the grad_func_paramter for a function for defvjp ?
Updated
8 months ago
Comments count
5
autograd.scipy.stats.norm.ppf not implemented
Updated
8 months ago
Comments count
4
Error: float() argument must be a string or a number, not 'ArrayBox'
Updated
8 months ago
ImportError: cannot import name 'logsumexp' from 'autograd.scipy.misc' (c:\users\utkarsh\appdata\local\programs\python\python37\lib\site-packages\autograd\scipy\misc.py)
Updated
8 months ago
grad(odeint)
Updated
8 months ago
Comments count
1
AttributeError: module 'scipy.misc' has no attribute 'logsumexp'...#help
Updated
8 months ago
Problem with Interpolation Autograd Friendly
Updated
8 months ago
Auto-diff of the root of a polynomial, with respect to some parameter defining the polynomial
Updated
8 months ago
Comments count
1
self defined gradient for certain value of input
Updated
8 months ago
Comments count
1
examples for jacobian and hessian
Updated
8 months ago
Input to holomorphic_grad is not complex
Updated
8 months ago
ModuleNotFoundError
Updated
8 months ago
Bug when raising zero to powers?
Updated
8 months ago
Evaluating a section of a jacobian
Updated
8 months ago
Comments count
1
support for Jax-like custom forward pass definition?
Updated
8 months ago
Comments count
1
Gradient become Nan for 0 value test
Updated
8 months ago
Comments count
1
Is it possible to see gradient function?
Updated
8 months ago
Comments count
1
Can I differentiate this function?
Updated
8 months ago
AttributeError: module 'autograd.numpy' has no attribute 'numpy_extra'
Updated
8 months ago
How do I create a scalar value that does not depend on the independent variables ?
Updated
8 months ago
`autograd` 1.6 breaks Apple M-series macOS and Windows builds (module `numpy` has no attribute `float128`)
Closed
a year ago
Comments count
3
Numpy 1.25 breaks a few linalg functions
Closed
a year ago
Comments count
1
unsafe URL
Closed
a year ago
Comments count
1
Add np.float128,np.complex256 dtypes to vspaces and boxes registers
Closed
a year ago
Comments count
2
Four scipy tests are failing
Closed
a year ago
Comments count
6
Limitations of autograd's custom primitives
Closed
2 years ago
Comments count
10
New release
Closed
2 years ago
Comments count
1
Make a new release?
Closed
2 years ago
Comments count
2
Jacobian of a matrix ran into error
Closed
2 years ago
`np.int` is a deprecated
Closed
3 years ago
Comments count
3
Missing derivatives for asarray
Closed
2 years ago
Comments count
1
differentiate thorugh nested function
Closed
2 years ago
Comments count
2
defining valid np.array through iterative concatination
Closed
2 years ago
Comments count
2
squared L2 norm NaN at 0
Closed
2 years ago
Comments count
2
autograd.numpy.round() gives always 0 as gradient
Closed
3 years ago
Comments count
6
grad evaluation of odeint gradient slower than finite differences
Closed
4 years ago
Comments count
5
Using make_vjp on functions with multiple return values seems to produce zeroed VJPs
Closed
4 years ago
Comments count
1
Previous
Next