Akash Saxena's Projects
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
I am sharing my Journey of 66DaysofData in Natural Language Processing.
A curated list of Generative AI tools, works, models, and references
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
List of tools & datasets for anomaly detection on time-series data.
The objective of this project is to predication of bike rental count on daily based on the environmental and seasonal settings. As it gets easy for an organisation to arrange the resource if the demand spikes.
Building Large Language Model Applications, Published by Packt
using streamlit integrading the gpt4all for AI base chating
The objective of this case is to predict the whether the customer will churn or not. Churn (loss of customers to competition) is a problem for companies because it is more expensive to acquire a new customer than to keep your existing one from leaving. This problem statement is targeted at enabling churn reduction using analytics concepts.
A complete computer science study plan to become a software engineer.
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Notes for design patterns for making a clean architecture system (Generated by AI)
The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ImageVectorSearch is a simple yet powerful open-source image search engine that leverages image embeddings for efficient and accurate searches. This project allows users to generate embeddings for images and search through a vector database, enabling quick and precise image retrieval based on content similarity.
This is the official location of the Kaldi project.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
High-quality datasets, tools, and concepts for LLM fine-tuning.
Description: Building an AI-Powered FastAPI for LLM (Language Model) Prompt-Response Generation