Pinned Repositories
Advanced-Lane-Detection
Software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are presented as output from the pipeline.
Deep-Learning
Implementation of Machine Learning algorithms and train models
FCN-Semantic-Segmentation
Tensorflow impementation of Fully Convolutional Network (FCN) for Image Segmentation on both Kitti/Cityscapes dataset
Instagram-Crawler
Scraping instagram profile information
Lane-Detection
Self driving car Lane detection
Path-planning
Path planning implemented with behavior trees
Self-Driving-Car-Behavior-Deep-Learning
End-to-End Deep Learning and Behavior cloning for Self-Driving Cars
Semantic-Segmentation-BiSeNet
Keras BiseNet architecture implementation
Traffic-sign-classifier
In this project, deep neural networks and convolutional neural networks are used to classify traffic signs. A model is trained so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, the model is tested on new images of traffic signs that are found on the web
Vehicle-Detection
Vehicle detection implemented with you Only Look Once. It's an object detector that uses features learned by a deep convolutional neural network to detect an object.
kirilcvetkov92's Repositories
kirilcvetkov92/Semantic-Segmentation-BiSeNet
Keras BiseNet architecture implementation
kirilcvetkov92/Instagram-Crawler
Scraping instagram profile information
kirilcvetkov92/Self-Driving-Car-Behavior-Deep-Learning
End-to-End Deep Learning and Behavior cloning for Self-Driving Cars
kirilcvetkov92/awesome-document-understanding
A curated list of resources for Document Understanding (DU) topic
kirilcvetkov92/awesome-transfer
A curated list of Awesome Transfer resources
kirilcvetkov92/Bank_Churn_Prediction
kirilcvetkov92/ControlNet-Style-GPT
Let us control diffusion models!
kirilcvetkov92/CPM
Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
kirilcvetkov92/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
kirilcvetkov92/deep-image-prior
Image restoration with neural networks but without learning.
kirilcvetkov92/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
kirilcvetkov92/grpc
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
kirilcvetkov92/kubernetes-series
kubernetes series code
kirilcvetkov92/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
kirilcvetkov92/llama-qrlhf
Implementation of the Llama architecture with RLHF + Q-learning
kirilcvetkov92/matteformer
kirilcvetkov92/mlops-on-gcp
kirilcvetkov92/mslearn-dp100
Lab files for Azure Machine Learning exercises
kirilcvetkov92/pipelines
Machine Learning Pipelines for Kubeflow
kirilcvetkov92/PlotNeuralNet
Latex code for making neural networks diagrams
kirilcvetkov92/PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
kirilcvetkov92/pybadges
A Python library for creating Github-style badges
kirilcvetkov92/segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
kirilcvetkov92/stable-diffusion
kirilcvetkov92/stylegan3
Official PyTorch implementation of StyleGAN3
kirilcvetkov92/Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
kirilcvetkov92/THE-SPARKS-FOUNDATION
📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨💻
kirilcvetkov92/tutorial
2021 ISMIR tutorial - music classification
kirilcvetkov92/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
kirilcvetkov92/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information