Skip to content

Merge branch test into main #40

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Merged
PrimedErwin merged 60 commits into from
Aug 28, 2025
Merged

Merge branch test into main #40

PrimedErwin merged 60 commits into from
Aug 28, 2025

Conversation

@PrimedErwin
Copy link
Collaborator

@PrimedErwin PrimedErwin commented Aug 28, 2025

No description provided.

Advaitgaur004 and others added 30 commits July 19, 2025 11:29
@Advaitgaur004
log activation function added
d078a4b
@Advaitgaur004
exp activation added
5490c0a
@Advaitgaur004
trignometric activation function added
b84d531
@Advaitgaur004
sigmoid activation added
7c02cad
@Advaitgaur004
tanh activation added
14a8503
@Advaitgaur004
elu activation function added
58e1871
@Advaitgaur004
SELU activation function added
4c15e20
@Advaitgaur004
feat: add alpha parameter to nn_elu function
eda9b18
@PrimedErwin
Merge pull request #28 from Advaitgaur004/test
a40ecf3 
Add new standard activation functions
@Advaitgaur004
Tensor_abs implemenation added
c8c2e97
@Advaitgaur004
test cases for Tensor_abs added
ec9b7f8
@Advaitgaur004
Loss function : nn_mse_loss is implemented
bca55eb
@Advaitgaur004
nn_mse_loss declaration added in cten.h
2115ee9
@Advaitgaur004
Loss function : nn_mae_loss is implemented and added
d6c512a
@Advaitgaur004
Loss function : nn_huber_loss is implemented
adf72ce
@Advaitgaur004
Cherry picked from operator-6 :ec9b7f86755cc0446b3f7f69fc8ec0b166bf9f5e
0c117a5 
- which essentially Add Tensor_abs implementation
@PrimedErwin
Merge pull request #29 from Advaitgaur004/operator-6
02dc6d0 
[Feat] : Implement Tensor_abs operator and tests
@PrimedErwin
Merge pull request #30 from Advaitgaur004/loss-function
2a5ecd2 
[Feat] : Add MSE, MAE, and Huber Loss Functions
@Advaitgaur004
fix(nn): Correct softmax gradient calculation and backward pass
3cd8adc
@Advaitgaur004
ultra minor cleanup in operator.c
9313168 
- This is no fix afterall...but yeah it looks good now, dont judge my career on the basis of this commit later on :(
@Advaitgaur004
extented the softmax to include dim as parameter
6ea516c
@Advaitgaur004
fix definitions - nn_softmax and changed GradNode structure
cff22a3
@PrimedErwin
Merge pull request #31 from Advaitgaur004/gradfn_softmax_fix
51b1312 
[Fix] : Correct Softmax Gradient
@Advaitgaur004
forward-test cases for softmax added.
e77e227
@Advaitgaur004
backward softmax test added
e7f3f6f
@Advaitgaur004
added input in backward test - softmax
ecb990e
@Advaitgaur004
softmax test added in cten_test.c
8c3684d
@PrimedErwin
Merge pull request #32 from Advaitgaur004/test
891e3da 
[Test] : Add softmax forward and backward tests
@Advaitgaur004
AdaGrad Optimizer added
47337ca
@Advaitgaur004
RMSPROP optimizer added
5285d2d
Advaitgaur004 and others added 29 commits August 2, 2025 15:54
@Advaitgaur004
Declaration of all optmizer-1 is added
dd72d46
@Advaitgaur004
assert statement added in optimizers
e26ac76
@Advaitgaur004
removing adagrad, rmsprop and adam from sgd.c file
a771b28
@Advaitgaur004
adagrad added in sep file
9965d32
@Advaitgaur004
adam added in sep file
6b94e0d
@Advaitgaur004
rmsprop added in sep file
fba4e80
@PrimedErwin
Merge pull request #33 from Advaitgaur004/optimizer-1
00ef857 
[Feat] : Add AdaGrad, RMSProp, and Adam Optimizers
@Advaitgaur004
Merge branch 'pocketpy:main' into optimizer-1
f6c201d
@Advaitgaur004
feat(optimizer): implement momentum for sgd
2d1f1a6
@PrimedErwin
Merge pull request #34 from Advaitgaur004/optimizer-1
e5ac661 
[Feat] : Implement SGD with Momentum (SGDM)
@Advaitgaur004
weightdecay in adagrad added
060675d
@Advaitgaur004
weight decay in adam added
c1921d2
@Advaitgaur004
weight decay in rmsprop added
4430b52
@Advaitgaur004
weight decay in sgdm added
617be3c
@Advaitgaur004
weight decay declaration added in cten.h
2fec48b
@Advaitgaur004
Add gradient clipping utilities for training stabilization
1b29f6f
@Advaitgaur004
Added gradient clipping function declarations in cten.h
ad622a1
@PrimedErwin
Merge pull request #35 from Advaitgaur004/weight-decay
889df03 
[Feat] : Add weight decay support to all optimizers
@PrimedErwin
Merge pull request #36 from Advaitgaur004/clipping
6d8890f 
[Feat] : Add gradient clipping utilities for neural network training
@Advaitgaur004
style: Apply clang-format to entire codebase
a133592
@Advaitgaur004
Make the build process simpler for linux user
0b77b08 
- It follows SIngle source of truth.
- All build logic (which files to compile, which flags to use, how to link libraries) is now located only in CMakeLists.txt file.
@PrimedErwin
Merge pull request #37 from Advaitgaur004/cleanup
1dffc75 
[Style] : Enforce consistent code formatting
@PrimedErwin
Merge pull request #38 from Advaitgaur004/cleanup-ii
fd5beab 
[Cleanup] : Tidy up the build script
@Advaitgaur004
minor-cleanup left
a94cac9
@Advaitgaur004
Doxygen-style doc written - cten.h
144a397
@Advaitgaur004
api reference added
0951921
@Advaitgaur004
minor change in heading
7753f79
@Advaitgaur004
better representation of max,min,sum and mean
ba6f469
@PrimedErwin
Merge pull request #39 from Advaitgaur004/docs
b9eb279 
[Doc] : API documentation to cten.h
@PrimedErwin PrimedErwin merged commit cadf7d9 into main Aug 28, 2025
5 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

No one assigned

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

3 participants

@PrimedErwin @Advaitgaur004