DataSphereX

Prompting-Techniques

Resume-Parser-Using-NER

Artificial-Neural-Networks

Artificial Neural Networks: Unleashing the Power of the Brain-Inspired Machine

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-langchain

😎 Awesome list of tools and projects with the awesome LangChain framework

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

Bespoke_LLMs_TALK

Slides and code for Bespoke LLMs : Adapting OSS LLMs for your use case.

CNN

Convolutional Neural Networks: Seeing the World Like a Machine

Decision-Tree

Decision Trees: Branching Out Your Understanding

Gaussian-Mixture-Model-GMM-

Demystifying Gaussian Mixture Models (GMMs)

Gradient-Boosting

Gradient Boosting: Teaming Up Learners for Superhuman Classification and Regression

Hybrid-Recommendation-System

Content Based and Collaborative Filtering

ice_breaker

K-Means-Clustering

K-Means Clustering: Unveiling Hidden Groups in Your Data

langchain

⚡ Building applications with LLMs through composability ⚡

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

Logistic-Regression

You will have to build a logistic regression model and interpret the result. Make sure you partition the data set by allocating 70% -for training data and 30% -for validating the results.

LSTM

Long Short-Term Memory: The RNN Hero Conquering Long Sequences

Naive-Bayes

Naive Bayes: A Simple Yet Powerful Classification Algorithm

NLP-Projects-NHV

NLP Projects playlist

NMT

Machine Translation

open-llms

🤖 A list of open LLMs available for commercial use.

OpenLLM

Operating LLMs in production

PDF_Ques_Ans

Random-Forest

Ensemble Techniques

RNN

Recurrent Neural Networks: Remembering the Past to Predict the Future

Streamlit_app

SVM

Support Vector Machines: Drawing the Line on Classification

test