Engin Bozaba's repositories
Generalized-regression-neural-networks-library-from-scratch
Generalized Regression Neural Networks estimates using the weighted averages of the outputs of the training data set. (With Gaussian kernel and Euclidean distance)
AICITY2021_Track2_DMT
The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.
Best-README-Template
An awesome README template to jumpstart your projects!
certified-aws-machine-learning-specialty
AWS Certified Machine Learning - Specialty Exam Preparation Notes
ci-cd-tutorial-sample-app
A sample Python app that implements a REST API, with database migrations and CI/CD support.
comet-detectron
Example for working with Detectron and Comet
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
cpp-kursu-kodlar
Necati Ergin'in eğitmeni olduğu Temel C++ ve İleri C++ kurslarında yazılan kodların bir kısmı bu repo'da yer alıyor. Kodların buraya taşınmasına devam ediliyor. Çok yakında tamamlanacak.
dslp
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Flask-MonitoringDashboard
Automatically monitor the evolving performance of Flask/Python web services.
kubeflow-manifests
KubeFlow on AWS
llmc
This is the official PyTorch implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models", and also an efficient LLM compression tool with various advanced compression methods, supporting multiple inference backends.
MadeWithML
Learn how to responsibly deliver value with ML.
ml-engineering
Machine Learning Engineering Open Book
mlops-zoomcamp
Free MLOps course from DataTalks.Club
neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
ObjectDetectionImbalance
Lists the papers related to imbalance problems in object detection