Machine Learning Engineer
Cover-Letter-Generator-gpt2. Service for generating cover letter using GPT-2 model, deployed on Google Cloud.
19Analysis-of-the-robustness-of-NMF-algorithms. Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm
11Text-Generation-gpt2. Service for generating text using GPT-2 model, deployed on Google Cloud.
10Numba. Introduction to Numba (CUDA)
8Social-Distance-Using-TensorFlow-API-Object. Using Tensorflow API Object to detect persons and calculate the distance between them
5Neural-Network-from-Scratch. Neural Network from Scratch without Keras or Tensorflow
5Travel-Entity-Recognition. Named Entity Recognition in travel-related documents using RNN
3Style-Transfer-PyTorch-Keras. Style Transfer using Pytorch and Keras and VGG19 network
3Where-is-Wally. Using TF Object Detection API for detecting Waldo in some pictures
2Capstone-Project. Capstone_Project Autonomous Car Simulator
1Image-Colorization. Simplified Image Colorization
1Behavioral-Cloning. Cloning human driving behavior using a DNN
1Arm-Robot-Project-Reinforcement_Learning. Jupyter Notebook
1kafka-twitter-mapbox. Coronavirus Real-time using Kafka and Twitter
1Noise-Regularization-Method-Neural-Network. Adding noise as regularization method to reduce overffiting in neural networks
1Analysis-of-classifiers-robust-to-noisy-labels. Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.
1Breast-Detection-Keras. Breast Cancer Detection using Keras
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