air-india

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

beautifulsoup4

Web Scarping using BeautifulSoup4

breast_cancer_detection

Breast Cancer predictor using Machine Learning Algorithm

browsify

Browsify lets you chat directly with websites using their links. It's like having a quick conversation with the webpage itself, making browsing more interactive and engaging.

cafe-coffee-day

chat-with-pdf-chatbot

This Chatbot is an interactive app developed to assist users to interact with their PDF. It is built using Open Source Stack. No OpenAI is required.

chest-cancer-classification-using-mlflow-and-dvc

cover-letter-generator

Our generator can help you craft a perfect cover letter that highlights your strengths, matches your personality, and meets the expectations of the job.

data-structures-and-algorithms

AlgoStructs: Your gateway to optimized algorithms and efficient data structures. Dive into the code, master the fundamentals, and elevate your programming skills.

data-structures-and-algorithms-1

This repo contains the algorithms from various websites. and detailed notes about the data structures and algorithms and Preparation Manual to crack any coding interview including working professionals.

data_pre-processing

Concepts of Machine Learning

diffusion-models

Diffusion models are a type of AI model that generate data by progressively improving their guesses over time.

end-to-end-machine-leaning-project-with-mlow

ensemble_learning_technique

Ensemble technique is a method of combining multiple machine learning models to improve the accuracy and robustness of predictions. Ensemble technique can be divided into three types: bagging, boosting and stacking.

feature-engineering

Feature engineering is the process of transforming raw data into features that can be used for machine learning models.

feature_engineerning

feature_selection

fifa-2022

flowise

Drag & drop UI to build your customized LLM flow

home-studio

huggingface-transformers_and_pipeline

kmeans-clustering

K-means clustering is an unsupervised machine learning algorithm used for grouping a set of data points into K clusters based on their similarity. The algorithm is widely used for clustering analysis in various fields, such as image segmentation, customer segmentation, and anomaly detection.

llm_conversational_qa_chatbot

Large Language Model Codes and Practices Using LangChain

llm_engineering

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

machine_learning_

mistral7b-html-gen-figr

Optimize Mistral 7B model for generating HTML code with this GitHub repo.

ml-flow-demo

MLFlow and Dagshub

ml-library-