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autoware.universe

bertfeatureextraction

BERT feature extraction based on pretrained model 'bert-base-uncased'

bertsummarizer

Extractive Summarizer with BERT pre-trained model and k-means algorithm

cameraparameterestimation

ceres

Ceres is my personal assistant.

cerespractises

It contains some optimization code snippet stuff.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

decision-tree-python-implementation

Decision Tree Python implementation without using any Machine Learning framework. Then comparing with Scikit-learn.

deep_q_learning

Deep Q-Learning implementation on Cart Pole OpenAI environment.

deepqlearning-qlearning

I implemented Deep Q Learning and Q Learning algorithm on the Taxi environment. It means that I tried to implement Deep Q-Learning algorithm on the Taxi environment that has discrete state space. I also implemented Deep Q Learning Algorithm on the Cartpole environment. I did many experiments for fine-tuning.

facialexpressions

google-stock-price-prediction-with-lstms

Google Stock Price Prediction with LSTMs

gui-for-analyzing-speech-signals

hmm_forward-viterbi-algorithm

imageclassificationpytorch

imageclassificationwithperceptrons

In this repository there are two project folders in which you can see the deep learning applications which are able to solve the same image classification problem with a perceptron and two-layer artificial neural network without using any deep learning library. I'll attach readme file soon.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-filter-python-cpp-implementation

kitti_yolo_label_transformation

kmeanspythonimplementation

Assignment from Machine Learning class. I did not use any Machine Learning framework.

knn-numpy-implementation-

kNN(NumPy Implementation)

levenshtein-distance-alignment

Levenshtein Distance alignment Python implementation. Minimum Edit Distance Python.

lu-decomposition-with-pivoting

mahalanobis_3d_multi_object_tracking

mnist-classification

The main goal of this project is to show power of the CNNs using k-Means clustering.

monocularvisualodometry

multilabelimageclassification

multivariate-regression-with-genetic-algorithm

Multivariate Regression with Genetic Algorithm

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

parallelprogrammingpractise