Bhaskar's repositories
demo-fraud-detection-with-p2p
Exploring Neo4j and Graph Data Science for Fraud Detection
Text_Classification
Text Classification Algorithms: A Survey
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
pykg2vec
Python library for knowledge graph embedding and representation learning.
OCEN
Loan Service Provider (LSP) <-> Lender protocol specification
NPNT-Provisional-testing-tool
A simple and easy tool to perform a basic check of NPNT/ Digital Sky compliance. The App is a checklist to verify basic NPNT work and is limited to NPNT verification, PA, PIN check and Flight log signature Verification.
creme
🍨 Online machine learning in Python
data-science-interviews
Data science interview questions and answers
extraction-framework
The software used to extract structured data from Wikipedia
Scala
All Algorithms implemented in Scala
fastText
Library for fast text representation and classification.
CostSensitiveClassification
CostSensitiveClassification Library in Python
GloVe
GloVe model for distributed word representation
texthero
Text preprocessing, representation and visualization from zero to hero.
onnx
Open standard for machine learning interoperability
cwa-documentation
Project overview, general documentation, and white papers.
lighthouse
Automated auditing, performance metrics, and best practices for the web.
jquery
jQuery JavaScript Library
BMW-TensorFlow-Training-GUI
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
BMW-YOLOv3-Inference-API-CPU
This is a repository for an object detection inference API using the Yolov3 Opencv.
BMW-YOLOv3-Training-Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"