nkmhd3's repositories
algorithmic-examples
Algorithmic Marketing Models
CNN_Intent_Classification
CNN for intent classification task in a Chatbot
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
efficientdet
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
face_recognition
The world's simplest facial recognition api for Python and the command line
fastbook
Draft of the fastai book
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
gluon-cv
Gluon CV Toolkit
hub
A library for transfer learning by reusing parts of TensorFlow models.
Image-Classification-Transfer-Learning
Building ResNet152 Model for Image Classification with Small Dataset (99.5% accuracy) | Tensorflow 2.0
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
microsoft-learning-paths-databricks-notebooks
Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.
mono
Neural networks monotonic in individual variables
Object-Detection-and-Tracking
YOLO & RCNN Object Detection and Multi-Object Tracking
Object_Detection_YOLOV3
Implementation of YOLOV3 for detecting and tracking vehicles in the sample video provided as an input argument.
Python
All Algorithms implemented in Python
recsys-on-rnn
A recommender system for predicting online consumer behaviour based on RNN.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Tensorflow_Object_Tracking_Video
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
TrainYourOwnYOLO
Train a state-of-the-art object detector from scratch!
vehicle_tracking_yolov3
This is the final project of the machine vision course. Given that multi-object tracking (MOT) is currently the research focus, this project will open source to help related research. The basis of this project is: yolo v3, multi-target recognition algorithm, Kalman filter tracking, Hungarian algorithm. (IPIL 2016) This project has basically completed the identification and tracking of vehicle targets in the video, but the robustness is not perfect.
VoTT
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
YOLO-CoreML-MPSNNGraph
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0