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.gitignore
.gitignore
 
 
CSC.c
CSC.c
 
 
CSR.c
CSR.c
 
 
LICENSE
LICENSE
 
 
OSA.c
OSA.c
 
 
PCA.c
PCA.c
 
 
README.md
README.md
 
 
RNN.c
RNN.c
 
 
RREF.c
RREF.c
 
 
SVD.c
SVD.c
 
 
accuracy.c
accuracy.c
 
 
adaboost.c
adaboost.c
 
 
adam.c
adam.c
 
 
batch_iterator.c
batch_iterator.c
 
 
conjugate_gradient.c
conjugate_gradient.c
 
 
conv_2d.c
conv_2d.c
 
 
correlation_matrix.c
correlation_matrix.c
 
 
covariance_matrix.c
covariance_matrix.c
 
 
cross_val.c
cross_val.c
 
 
decision_tree.c
decision_tree.c
 
 
determinant.c
determinant.c
 
 
diagonalize_vector.c
diagonalize_vector.c
 
 
divide_dataset.c
divide_dataset.c
 
 
eigenvalues.c
eigenvalues.c
 
 
f_score.c
f_score.c
 
 
feauture_scaling.c
feauture_scaling.c
 
 
gauss_seidel.c
gauss_seidel.c
 
 
gaussian_elimination.c
gaussian_elimination.c
 
 
generate_polynomial.c
generate_polynomial.c
 
 
gini_impurity.c
gini_impurity.c
 
 
grad_descent.c
grad_descent.c
 
 
jacobi_method.c
jacobi_method.c
 
 
k_means.c
k_means.c
 
 
kl_divergence.c
kl_divergence.c
 
 
lasso_regression.c
lasso_regression.c
 
 
leaky_relu.c
leaky_relu.c
 
 
linear_kernel.c
linear_kernel.c
 
 
log_softmax.c
log_softmax.c
 
 
lr_grad_desc.c
lr_grad_desc.c
 
 
lr_norm_eq.c
lr_norm_eq.c
 
 
matrix_image.c
matrix_image.c
 
 
matrix_inverse.c
matrix_inverse.c
 
 
matrix_times_matrix.c
matrix_times_matrix.c
 
 
matrix_times_vector.c
matrix_times_vector.c
 
 
matrix_transform.c
matrix_transform.c
 
 
mean.c
mean.c
 
 
one_hot.c
one_hot.c
 
 
orthog_proj.c
orthog_proj.c
 
 
pegasos_SVM.c
pegasos_SVM.c
 
 
precision.c
precision.c
 
 
random_shuffle.c
random_shuffle.c
 
 
random_subset.c
random_subset.c
 
 
recall.c
recall.c
 
 
relu.c
relu.c
 
 
reshape_matrix.c
reshape_matrix.c
 
 
ridge_regression.c
ridge_regression.c
 
 
scalar_mult.c
scalar_mult.c
 
 
self_attention.c
self_attention.c
 
 
sigmoid.c
sigmoid.c
 
 
single_neuron.c
single_neuron.c
 
 
single_neuron_back.c
single_neuron_back.c
 
 
softmax.c
softmax.c
 
 
svd_jacobi.c
svd_jacobi.c
 
 
tf_idf.c
tf_idf.c
 
 
transform_basis.c
transform_basis.c
 
 
translation_matrix.c
translation_matrix.c
 
 
transpose_matrix.c
transpose_matrix.c
 
 
utils.c
utils.c
 
 
utils.h
utils.h
 
 

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Solutions of ML Code Challenges

Solutions of tasks from https://www.deep-ml.com website

Not implemented

  • Implementing Basic Autograd Operations.
  • Implementing a Custom Dense Layer in Python
  • Implement Long Short-Term Memory (LSTM) Network
  • Implement a Simple RNN with Backpropagation Through Time (BPTT)

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Solutions of tasks from https://www.deep-ml.com website

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