Prahlad Kumar's repositories
100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
loghub
A large collection of system log datasets for AI-powered log analytics
teachablemachine-community
Example code snippets and machine learning code for Teachable Machine
ALAE
[CVPR2020] Adversarial Latent Autoencoders
bert
TensorFlow code and pre-trained models for BERT
Supervised-Machine-Learning
The Repository includes all the popular Machine Learning Algorithms Implemented using Sklearn and supported with Proper documentation, explanations, and diagrams
Real-Time-Person-Removal
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
models
Models and examples built with TensorFlow
what-if-tool
Source code/webpage/demos for the What-If Tool
log-anomaly-detector
Log Anomaly Detection - Machine learning to detect abnormal events logs
sagemaker-tensorflow-container
This support code is used for making the TensorFlow framework run on Amazon SageMaker.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
jupyter-tabnine
Autocompletion with Deep Learning on Jupyter Notebook
Bank-Churn-Prediction
EDA and Logistic Regression
NLP_tensorflow_project
Use tensorflow to achieve some NLP project
recommenders
Best Practices on Recommendation Systems
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
recommendation
Recommendation System using ML and DL
DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
machine-learning-for-telecommunications
A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Emotions
Recognize Emotions on the Frontal Face Image
awesome-blockchain-ai
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Airline-Passenger-Prediction-using-RNN---LSTM
Airline Passenger Prediction using RNN - LSTM
pytorch_tutorial
PyTorch 1.0 Tutorial