Taking rows of a matrix given a batch of indices - Python
Cannot import name 'isin' python
JAX return types after transformations
How to model random neurons in Jax?
Accumulation in JAX
Optimizing sampling with varying sample sizes in jax
jax linear solve issues
Repeating rows from array
JAX pytree for xarray
For each element, loop over all previous elements
Run Jax with PyTorch >=1.6.0 in same Environment
inserting rows and columns of zeros to a sparse array in python
jax empty element in the parameters of neural network
Nested for loops in jax
Parameters do not converge at a lower tolerance in nonlinear least square implementation in python
(Conv1D) Tensorflow and Jax Resulting Different Outputs for The Same Input
What is the best way to index 3d matrix with vectors?
vmap in Jax to loop over arguments
DenseElementsAttr could not be constructed from the given buffer
Module 'jaxlib.xla_extension.jax_jit' has no attribute 'set_enable_x64_cpp_flag'
Vectorizing a function that takes multidimensional input over a multidimensional array in JAX
How to check if a value is in an array while using jax
JAX(XLA) vs Numba(LLVM) Reduction
Handle varying shapes in jax numpy arrays (jit compatible)
jax: sample many observations from random.choice with replacement between them
Custom jvp of Newton Solver in Python's JAX
Output shape of jax's vmap
How to print with JAX
How to iterate over tuples using jax.lax.scan
Memory usage in transforming fine tuning of GPTJ-6b to HuggingFace format
Mask a numpy array after a given value
Jax / Neural Tangents `linearize` induces CUDA_ERROR_OUT_OF_MEMORY
Flax much slower than pure Jax for neural nentworks?
Cannot install Jaxlib on Apple M1, on Docker
Neural Network Always Predicting Average Value
Extract the diagonal elements of the Hessian in a neural network in Jax
Haiku & Jax weights initialisation
cannot execute jax code jax.random.PRNGKey(0)
vmap gives inconsistent shape error when trying to calculate gradient per sample
How could I speed up this looping code by JAX; Finding nearest neighbors for collision
Merge dataclasses in python
swapaxes and how it is implemented?
How can I utilize JAX library on my code with numpy take realted error: "NotImplementedError: The 'raise' mode to jnp.take is not supported."
Error upon compilation while using jax.jit
Resulting array is zero when jax.numpy is used
TypeError: Argument 'MLP( # attributes num_neurons_per_layer = [4, 1] )' of type <class '__main__.MLP'> is not a valid JAX type
Jacobian diagonal computation in JAX
How to install trax, jax, jaxlib on M1 Mac on macOS 12?
keras and jax: same neural net, same weights but different outputs?
Jax Neural-Tangent library: may I am wrong?
IndexError: Array boolean indices must be concrete
Neglecting weak gradients for faster computation (JAX)
Does JAX run slower than NumPy?
Why does a JAX model with Dense(1) at the end give an output of shape (25,)?
JAX: Converting Concrete Tracer values to regular float values doesnt work
Compute efficiently Hessian matrices in JAX
Accelerating nested for-loops in JAX
in_axes keyword in JAX's vmap
JAX/XLA slow compilation using conda
Is there any method that can accelerate the python gredient calculation?
Combine scipy.root and Jax Jacobian
Differentiation of an improper integral using JAX and SciPy
Fastest way to multiply and sum 4D array with 2D array in python?
Is there a module to convert a tensorflow NN to Jax?
JAX pmap is slower than jit(vmap), how to speedup?
How to deal with ImportError: cannot import name 'pytree' from 'jaxlib' of using jax?
How to deal with ERROR: infinite symlink expansion detected in building jax from source in ubuntu?
What is the alternative of elementwise_grad of autograd in JAX?
jax confusion - what are the best practices?
Automatic Differentiation with respect to rank-based computations
Python - time difference (JAX library)
JAX hook / information / warning when a JIT function is re-compiled
JAX: avoid just-in-time recompilation for a function evaluated with a varying number of elements along one axis
Jax: Take derivative with respect to index of vector-valued argument
Jax - Debugging NaN-values
How to compute the joint probability density function from a joint cumulative density function in Jax?
AttributeError: module 'jaxlib.xla_extension' has no attribute 'PmapFunction'
GPU and `jax` performance mysteries
Why does my JAX + Haiku code don't run on GPU?
Vectorise nested vmap
Turn a tf.data.Dataset to a jax.numpy iterator
Vectorization guidelnes for jax
Jax/Flax (very) slow RNN-forward-pass compared to pyTorch?
Why does JAX do a full forward pass in the init function?
jax woes (on an NVDIA DGX box, no less)
how to do curve fitting using google jax?
Multiple `vmap` in JAX?
Conditioning on elements of matrix in JIT-ted function
JIT a least squares loss function in Jax
How to use grad convolution in google-jax?
Inverse operation to padding in Jax
Is there a CUDA threadId alike in Jax (google)?
How to use jax vmap for nested loops?
How can I utilize JAX library to speed up my code?
JIT unable to improve my JAX code: where am I wrong?
Vectorizing a Physics Simulation?
JAX/JIT vs Std Numpy performance: where I am wrong?
Jax vectorization: vmap and/or numpy.vectorize?
How to reduce JAX compile time when using for loop?
How does one get a parameter from a params (pytree) in haiku? (jax framework)