juliuskunze jaxnet issues

juliuskunze / jaxnet

Concise deep learning for JAX

Apache License 2.0

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issues

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Issues with basic RNN...

#26 adarob closed 4 years ago
1
ImportError: cannot import name 'unzip2' from 'jax'

#25 asmith26 closed 4 years ago
2
PRNG handling akin to parameters

#24 samuela opened 4 years ago
2
Infer nr_mix in pcnn loss instead of hard-coding it

#23 j-towns closed 4 years ago
1
Getting RuntimeError in resnet50 example

#22 harpone closed 4 years ago
1
Automate random key injection (simplify dropout etc)

#21 juliuskunze closed 4 years ago
0
Add Batched(parametrized)

#20 juliuskunze closed 4 years ago
0
Feature Request: Add Mish Activation

#19 digantamisra98 closed 4 years ago
2
Cache miss breaks jit(parametrized(jit).apply)

#18 juliuskunze opened 4 years ago
0
Fix PixelCNN's weight norm layers

#17 juliuskunze closed 4 years ago
0
Allow vmap(parametrized(fun))

#16 juliuskunze closed 4 years ago
1
Allow lax.scan with unparametrized cell within parametrized function

#15 juliuskunze closed 4 years ago
0
Allow parametrized(jit(fun))

#14 juliuskunze closed 4 years ago
0
Allow overlap when reusing parameters

#13 juliuskunze closed 4 years ago
0
Allow storing optimizer state

#12 juliuskunze closed 4 years ago
0
Memory usage is too high

#11 juliuskunze closed 4 years ago
1
Module parsing is slow

#10 juliuskunze closed 4 years ago
0
Fix tuple/dict inputs

#9 juliuskunze closed 4 years ago
0
Fix parameter sharing between multiple parents

#8 juliuskunze closed 4 years ago
0
There are some memory leak

#7 neon5d closed 4 years ago
2
os.environ["CUDA_VISIBLE_DEVICES"] not working

#6 neon5d closed 4 years ago
1
Repair unbatched PixelCNN example

#5 juliuskunze closed 4 years ago
0
Repair RNNs

#4 juliuskunze closed 4 years ago
0
Update to jax version 0.1.42

#3 juliuskunze closed 5 years ago
0
RNN training fails

#2 juliuskunze closed 4 years ago
0
Remove need for input-dependent dummy argument

#1 juliuskunze closed 4 years ago
0