Pinned Repositories
bigdata
Notebooks for Big Data Class
bigdataengineering
dl_nlp_course
GenAI_LLM
The notebooks for the GenAI and LLM Course
IIMBClasses
LLMTutorials
Tutorials for LLMs
MLCourseV1
MLUsingPythonBook
Python_DS_2days
Publish to Github
spark-dev-training
manaranjanp's Repositories
manaranjanp/Python_DS_2days
Publish to Github
manaranjanp/dl_nlp_course
manaranjanp/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
manaranjanp/DS_Exercises
Exercise Notebooks for Data Science Training
manaranjanp/sparkusingscala
Lab Material for Spark using Scala Training
manaranjanp/ML_Python
The files for the Machine Learning Using Python Workshop
manaranjanp/awesomenew
A simple Jekyll Template Card Based.
manaranjanp/course-nlp
A Code-First Introduction to NLP course
manaranjanp/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
manaranjanp/Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
manaranjanp/DL-Recommender-System-Papers
"End-to-End encryption is practically a meaningless phrase used by internet-based companies to coax people into believing the modern myth of online privacy."― Abhijit Naskar
manaranjanp/dlaicourse
Notebooks for learning deep learning
manaranjanp/EntityEmbedding-Working_Example
This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.
manaranjanp/fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
manaranjanp/fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
manaranjanp/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
manaranjanp/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
manaranjanp/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
manaranjanp/loghub
A large collection of system log datasets for AI-powered log analytics
manaranjanp/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
manaranjanp/nlp-recipes
Natural Language Processing Best Practices & Examples
manaranjanp/nlp_crash_course_plugin20
Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition
manaranjanp/nlpbook
Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication
manaranjanp/PyconUS_2019-model-interpretability-tutorial
Content for the Model Interpretability Tutorial at Pycon US 2019
manaranjanp/recsys
manaranjanp/recsys_mlops
Recommendation System Use Case for MLOps Class
manaranjanp/shap
A game theoretic approach to explain the output of any machine learning model.
manaranjanp/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
manaranjanp/usedcar_mlops
manaranjanp/usedcarprice
Predicting the price of an used car