CHETHAN H N's repositories
Data-science-ML-and-DL-Resources
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects
Rice-Leaf-disease-detection
To detect rice leaf disease by image using CNN
-Python-for-Data-Science-and-Machine-Learning-Evolution-A-30-Day-Transformation-
To learn Python for data science in 30 days
Water_bottle_classication_model
Image classification model to classify water bottles as Full,Half,Overflowing Water bottles based on water level inside
NLP_Projects
This is the Repository for different Natural language Processing(NLP) projects using Hugging face,Gensim, NLTK,Spacy and other Libraries
ai_all_resources
A curated list of Best Artificial Intelligence Resources
algorithms
Minimal examples of data structures and algorithms in Python
Large_Language_Models-Pojects
LLM(Large Language Models) Projects and Resources
Retail-Query-Assistant-Langchain-Google-Palm-LLM-
To Develop an end-to-end language model tool that can handle complex natural language queries for a t-shirt store's MySQL database.
annotated-transformer
An annotated implementation of the Transformer paper.
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
coding-interview-university
A complete computer science study plan to become a software engineer.
cs-video-courses
List of Computer Science courses with video lectures.
Data-Scientist-Books
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
Feature-Engineering-for-Machine-learning
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Getting-Started-with-Generative-AI
A curated list of articles and tutorials to start with and understand generative AI
Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
Grokking the Coding Interview: Patterns for Coding Questions Alternative
Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM-Finetuning
LLM Finetuning with peft
mlops-zoomcamp
Free MLOps course from DataTalks.Club
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Real_time_Anomaly_Detection_for_Endpoint_Security
To develop an advanced behavioral AI models for real-time anomaly detection and threat identification at Endpoints/Users using Host and Network Logs data
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Text-Summarizer-Project
Text Summarization using Hugging Face Transformers
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.