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kazewong
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flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
https://flowmc.readthedocs.io/en/main/
MIT License
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Implement mix discrete and continuous sampling
#187
kazewong
opened
1 month ago
0
Zero Local Acceptance Rate but Good Global Acceptance
#186
zeeshan5885
closed
1 month ago
2
gh-183: Better verbose in debug mode
#185
Qazalbash
opened
2 months ago
1
License and format
#184
Qazalbash
closed
2 months ago
1
Better verbose
#183
Qazalbash
opened
2 months ago
3
Update Sampler and NFModel classes
#182
kazewong
closed
2 months ago
0
No module named 'flowMC.sampler'
#181
Felipe-4
closed
3 months ago
4
Update optax requirement and remove testing print statement
#180
thomasckng
closed
2 months ago
0
New script to generate useful plots
#179
Qazalbash
closed
4 months ago
0
Bug in postprocessing script
#178
Qazalbash
closed
4 months ago
0
Validating flowMC Results on Unlabeled Data
#177
Qazalbash
opened
4 months ago
9
minor fix of the example using a non-jax likelihood
#176
marylou-gabrie
closed
5 months ago
0
Implement flow matching
#175
kazewong
opened
5 months ago
0
Refine strategy interface
#174
kazewong
opened
5 months ago
0
Why do we have to pass data two times?
#173
Qazalbash
closed
5 months ago
1
The previous load model function does not correctly load the model
#172
kazewong
closed
6 months ago
0
170 lower precision training
#171
kazewong
closed
5 months ago
0
Lower precision training
#170
kazewong
closed
5 months ago
1
update example and add print summary to Sampler
#169
ThibeauWouters
closed
6 months ago
0
165 add probability floor to normalizing flow model -> updating Adam optimizer to optimize with constraint
#168
kazewong
closed
6 months ago
0
Update examples
#167
ThibeauWouters
opened
6 months ago
0
[Fixed bug, but not in release] UnboundLocalError: local variable 'best_state' referenced before assignment
#166
Qazalbash
closed
6 months ago
2
Add probability floor to normalizing flow model
#165
kazewong
closed
6 months ago
0
163 implement optimization strategy
#164
kazewong
closed
7 months ago
0
Implement optimization strategy
#163
kazewong
closed
7 months ago
0
TypeError: unsupported operand type(s) for *: `dict` and `dict` in MALA.py after flowMC-v3.0.0 release
#162
Qazalbash
closed
7 months ago
4
157 making sampler composable
#161
kazewong
closed
7 months ago
0
158 put training loop into nf class
#160
kazewong
closed
7 months ago
0
Update README.md
#159
kazewong
closed
7 months ago
0
Put training loop into NF class
#158
kazewong
closed
7 months ago
0
Making sampler composable
#157
kazewong
closed
7 months ago
0
142 sampling from arrays
#156
kazewong
closed
7 months ago
0
Sync branch 142
#155
kazewong
closed
7 months ago
0
153 use scan to reduce nf compilation time
#154
kazewong
closed
7 months ago
0
Use scan to reduce NF compilation time
#153
kazewong
closed
7 months ago
0
144 get rid of random key set
#152
kazewong
closed
7 months ago
0
134 add precommit script and fix formatting
#151
kazewong
closed
7 months ago
0
Sync branch 134
#150
kazewong
closed
7 months ago
0
Question regarding the data for the log-likelihood
#149
Qazalbash
closed
7 months ago
3
small bug fix in keys for stepping optimizer
#148
tedwards2412
closed
8 months ago
0
Early stopping based on global acceptance rate
#147
ThibeauWouters
closed
6 months ago
3
Bayeux example
#146
kazewong
closed
9 months ago
0
Clean up parameter names
#145
kazewong
closed
7 months ago
1
Get rid of random_key_set
#144
kazewong
closed
7 months ago
0
Added plotting utilities and refactored hyperparams
#143
ThibeauWouters
closed
9 months ago
4
Sampling from arrays
#142
ColCarroll
closed
7 months ago
0
Question about integrating with bayeux
#141
ColCarroll
closed
9 months ago
9
Ensemble training of normalizing flow
#140
kazewong
opened
9 months ago
0
Image of the function in tutorial
#139
Qazalbash
closed
9 months ago
1
`jax.interpreters.pxla` has no attribute `ShardedDeviceArray`
#138
Qazalbash
closed
10 months ago
2
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