|
195 | 195 | * [Xtea](ciphers/xtea.py) |
196 | 196 |
|
197 | 197 | ## [Computer Vision](computer_vision) |
198 | | - * [Cnn Classification](computer_vision/cnn_classification.py) |
199 | 198 | * [Flip Augmentation](computer_vision/flip_augmentation.py) |
200 | 199 | * [Gramian](computer_vision/gramian.py) |
201 | 200 | * [Haralick Descriptors](computer_vision/haralick_descriptors.py) |
|
474 | 473 | * [Floyd Warshall](dynamic_programming/floyd_warshall.py) |
475 | 474 | * [Integer Partition](dynamic_programming/integer_partition.py) |
476 | 475 | * [Iterating Through Submasks](dynamic_programming/iterating_through_submasks.py) |
477 | | - * [K Means Clustering Tensorflow](dynamic_programming/k_means_clustering_tensorflow.py) |
478 | 476 | * [Knapsack](dynamic_programming/knapsack.py) |
479 | 477 | * [Largest Divisible Subset](dynamic_programming/largest_divisible_subset.py) |
480 | 478 | * [Longest Common Subsequence](dynamic_programming/longest_common_subsequence.py) |
|
483 | 481 | * [Longest Increasing Subsequence Iterative](dynamic_programming/longest_increasing_subsequence_iterative.py) |
484 | 482 | * [Longest Increasing Subsequence O Nlogn](dynamic_programming/longest_increasing_subsequence_o_nlogn.py) |
485 | 483 | * [Longest Palindromic Subsequence](dynamic_programming/longest_palindromic_subsequence.py) |
| 484 | + * [Longest Repeating Subsequence](dynamic_programming/longest_repeating_subsequence.py) |
486 | 485 | * [Matrix Chain Multiplication](dynamic_programming/matrix_chain_multiplication.py) |
487 | 486 | * [Matrix Chain Order](dynamic_programming/matrix_chain_order.py) |
488 | 487 | * [Max Non Adjacent Sum](dynamic_programming/max_non_adjacent_sum.py) |
|
704 | 703 | * [Enigma Machine](hashes/enigma_machine.py) |
705 | 704 | * [Fletcher16](hashes/fletcher16.py) |
706 | 705 | * [Hamming Code](hashes/hamming_code.py) |
| 706 | + * [Jenkins One At A Time](hashes/jenkins_one_at_a_time.py) |
707 | 707 | * [Luhn](hashes/luhn.py) |
708 | 708 | * [Md5](hashes/md5.py) |
709 | 709 | * [Sdbm](hashes/sdbm.py) |
|
766 | 766 | * [Local Weighted Learning](machine_learning/local_weighted_learning/local_weighted_learning.py) |
767 | 767 | * [Logistic Regression](machine_learning/logistic_regression.py) |
768 | 768 | * [Loss Functions](machine_learning/loss_functions.py) |
769 | | - * Lstm |
770 | | - * [Lstm Prediction](machine_learning/lstm/lstm_prediction.py) |
771 | 769 | * [Mab](machine_learning/mab.py) |
772 | 770 | * [Mean Shift](machine_learning/mean_shift.py) |
773 | 771 | * [Mfcc](machine_learning/mfcc.py) |
|
1030 | 1028 | * [Rotate Matrix](matrix/rotate_matrix.py) |
1031 | 1029 | * [Searching In Sorted Matrix](matrix/searching_in_sorted_matrix.py) |
1032 | 1030 | * [Sherman Morrison](matrix/sherman_morrison.py) |
| 1031 | + * [Similar Matrices](matrix/similar_matrices.py) |
1033 | 1032 | * [Spiral Print](matrix/spiral_print.py) |
1034 | 1033 | * Tests |
1035 | 1034 | * [Test Matrix Operation](matrix/tests/test_matrix_operation.py) |
|
1058 | 1057 | * [Swish](neural_network/activation_functions/swish.py) |
1059 | 1058 | * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py) |
1060 | 1059 | * [Convolution Neural Network](neural_network/convolution_neural_network.py) |
1061 | | - * [Input Data](neural_network/input_data.py) |
| 1060 | + * [Lstm](neural_network/lstm.py) |
1062 | 1061 | * Optimizers |
1063 | 1062 | * [Adagrad](neural_network/optimizers/adagrad.py) |
1064 | 1063 | * [Adam Optimizer](neural_network/optimizers/adam_optimizer.py) |
|
0 commit comments