Anush Onkarappa's repositories
applied-ml
📚 Papers by organizations sharing their work on applied data science & machine learning.
awesome-for-beginners
A list of awesome beginners-friendly projects.
awesome-llm-apps
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
Data-Science-Interview-Resources
Data Science/ML Resources- for interview, random concepts
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
nlp-in-practice
NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
NLP_SMS-SPAM-HAM
Using NLTK tool kit to detect is SMS is Spam/Ham
SNLP_Project
SNLP 2021 Final Project
Covid-19-Detection
Detecting Covid-19 from X-ray
Data-Science-Interview-Resource
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
HackingNeuralNetworks
A small course on exploiting and defending neural networks
Healthcare-ML-Web-Application
Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life.
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Rubiks_Cube_Solver
Solve a Rubiks Cube using Python Opencv and Kociemba module
stanford-karel
Python Implementation of Karel for CS106A at Stanford
Tictactoe-using-python
Tictactoe Game built using python