Dipanjan (DJ) Sarkar's repositories
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
tensorflow2-crash-course
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
data_science_for_all
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
nlp_essentials
Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies
nlp_workshop_odsc_europe20
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
adversarial-learning-robustness
Contains materials for workshops pertaining to adversarial robustness in deep learning.
deep_transfer_learning_nlp_dhs2019
Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
nlp_crash_course_plugin20
Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition
adv_nlp_workshop_odsc_europe22
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
convolutional_neural_networks_essentials
Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks
nlp_workshop_odsc19
Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
live-manning-nlpconf20
Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing
feature_engineering_session_dhs18
Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better Machine Learning Models' where we look at two interesting case studies on how to effectively leverage feature engineering and use a structured approach to build good machine learning models. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018
transformers_nlp_essentials
Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFace Transformers framework in the hands-on tutorials.
practical_nlp_workshop_gids20
Contains relevant notebooks for the hands-on NLP workshop for the GIDS AIML Conference -2020 Edition
low_code_machine_learning_pycaret_workshop_2022
This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hands-on notebooks leveraging PyCaret to compare, build, tune, evaluate and interpret machine learning models
nlp_workshop_iisc19
Hands-on examples showcasing popular NLP applications
adversarial_learning_tfug2020
Contains the slides and hands-on tutorials showcasing adversarial learning on convolutional neural networks to build robust vision models
ml_model_deployment_example
A simple example to showcase machine learning model deployment with an API
appliedml_workshop_dhs_av_2019
Content for Applied ML Workshop @ DataHack Summit 2019
adv_nlp_workshop_odsc_europe23
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference Europe 2023. We will leverage deep transfer learning, notably transformers to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
deeplearning.ai-generative-ai-courses
This repository will contain all the exercises, tutorials and python jupyter notebooks for all the DeepLearning.AI courses on Generative AI, ChatGPT, LangChain, LLMs and more
adv_nlp_workshop_odsc_apac2323
Extensive tutorials for the Advanced NLP Session in Open Data Science Conference APAC 2023. We will leverage deep transfer learning, notably transformers and LLMs like ChatGPT to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Summarization, Language Translation, Q&A systems
duke-cloud-computing-for-data-coursera
Will contain all the necessary code examples for the Duke Cloud Computing Specialization on Coursera
satellite-image-super-resolution
This repository contains the end-to-end workflow consisting of code, models, methodologies and results of a joint-effort between South Pole and SIT Academy to build a Super Resolution Imaging System leveraging Deep Transfer Learning and Computer Vision for Satellite Imagery from Google Earth Engine to assess the impact of climate action interventions
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
neural-structured-learning
Training neural models with structured signals.
openshift-probable-vulnerabilities
This repository contains all the code, models, scripts and reports for flagging probable vulnerabilities for the gokube-openshift eco-system