Hizar62

Hizar62's Stars

• axiftaj/Flutter-Bloc-Clean-Coding

  Language:Dart628

• public-api-lists/public-api-lists

  A collective list of free APIs for use in software and web development 🚀

  10.7k1k

• krishnaik06/Perfect-Roadmap-To-Learn-Data-Science-In-2024

  2.9k1.2k

• krishnaik06/6-Months-Data-Science-Roadmap-

  1.8k528

• public-apis/public-apis

  A collective list of free APIs

  Language:Python323k34.3k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66.1k34.1k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.9k1.7k

• dsfsi/textaugment

  TextAugment: Text Augmentation Library

  Language:Python40960

• ayush714/mlops-roadmap

  Roadmap for MLOps

  26881

• AIAnytime/Llama-2-Deployment-on-AWS

  It is for Llama 2 Deployment on AWS.

  Language:Jupyter Notebook1910

• ayush714/data-science-roadmap

  Roadmap for Data Science

  747134

• thongnt99/acl22-depression-phq9

  Language:Python246

• SteveKGYang/MentalLLaMA

  This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

  Language:Python22625

• behavioral-data/Empathy-Mental-Health

  Repository containing codes and dataset access instructions for the EMNLP 2020 paper on empathy in text-based mental health support

  Language:Python15735

• kharrigian/mental-health-datasets

  An evolving list of electronic media data sets used to model mental-health status.

  Language:Python39872

• vamsikunal/Text-Based-AI-Bot-for-Monitoring-Mental-Health

  Language:C42

• varrhythm/Emotionally-Intelligent-Chatbot-for-Mental-Healthcare-and-suicide-prevention

  To provide a free service of interaction with a machine, the objective of “Emotionally Aware Chatbot” is to provide mental healthcare to those who are mentally-ill anywhere and anytime. It raises the question of what role, if any, the chatbot should play in suicide prevention. With this chatbot, we expect to reach as many mentally-ill people as possible by hosting this on web domains of known hospitals or counselors. If it is easy to detect mental health issues at the correct time and provide suitable help, it might save precious lives. If integrated with the hospital systems, this would provide an effective way to automate the work.

  Language:Python258

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++71.5k7.8k

• milaan9/10_Python_Pandas_Module

  Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

  Language:Jupyter Notebook242228

• milaan9/09_Python_NumPy_Module

  Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

  Language:Jupyter Notebook237225

• milaan9/12_Python_Seaborn_Module

  Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

  Language:Jupyter Notebook225198

• milaan9/11_Python_Matplotlib_Module

  Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

  Language:Jupyter Notebook224207

• pandykad/A-EYE-Mobile-Application-for-Visually-Impaired-People.

  Mobile application built using Flutter and machine learning for visually impaired people

  Language:Dart2814

• skydoves/android-developer-roadmap

  🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.

  Language:Kotlin7.4k687