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?

Optimizing sampling with varying sample sizes in jax

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

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

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

swapaxes and how it is implemented?

Error upon compilation while using jax.jit

Resulting array is zero when jax.numpy is used

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

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: Take derivative with respect to index of vector-valued argument

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?

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?

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)