file-compression-using-rust

File compression using flate2 external cargo of rust. Simple, easy to use.

fine-tune-a-vision-transformer-to-recognise-pokemon-cards

Identifying Pokemon cards, whether for collecting, playing, or trading, can be a challenge, especially for newer trainers. But fear not, for the power of deep learning, specifically Vision Transformers (ViTs), can lend a helping hand! In this guide, we'll explore how to fine-tune a ViT to become your own personal Pokemon card recognition champion.

fine-tuned-llama2-on-local-machine-

Used LangChain, ChainLit and Llama2 70B parameter model to build a chatbot which reads the input documents in the data folder and can answer any question related to that topic. Feel free to custom tune the model's parameters!!!

fine-tuning-distilbert-transformer-for-deep-sentiment-analysis

Fine-Tuning DistilBERT Transformer for Deep Sentiment Analysis" involves customizing the pre-trained model for sentiment classification through supervised learning with labeled data, enabling nuanced sentiment analysis solutions.

flight-fare-prediction

Flight fare prediction is a popular challenge on Kaggle that aims to predict the fare of a flight ticket based on various factors such as departure date, arrival date, number of stops, airlines, etc. The challenge is to build a machine learning model that can accurately predict the fare of a flight ticket based on these variables.

flood-estimation-kaggle-competition

fooocus-fine-tuned-using-low-rank-adaptation-and-quantization

Focus on prompting and generating

full-fledged-eccomerce-machine-learning-system

generative-adversial-network-

github-profile-viewer

4th Semester Project of Front End Engineering 2, done by - @JatinJaglan347, @Bowlpulp, @KartikeyBartwal, and @Jassi2004

goat-mytra

goat-mytra-get

goat-vision-diagnosis

hate-speech-detection-using-natural-language-processing

The project aims to use machine learning to classify text messages in one of the 3 categories: 1) Hate speech and offensive 2) Safe speech

indian-pima-dataset-for-diabetes-classification

indian-startups-data-analysis

just some analysis out of curiosity :)

jp-backend

kartikeybartwal

large-language-model-projects

There are plenty :)

leetcode-problem-solutions

leethub-2.0

Automatically sync your leetcode solutions to your github account - with some updates to keep it working

live-drowsiness-detection-using-machine-learning-and-computer-vision-

llama-gpt

A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device.

llama2-powered-scalable-saas-project-implemented-using-mern-stack

A Scalable SaaS AI web app using MERN Stack andLlama2 model. leverages MongoDB, Express.js, React, and Node.js to create a high-performance, scalable Software as a Service solution. Ideal for modern web applications, it's designed for efficiency and adaptability. Explore, collaborate, and harness the power of AI with this project

llm-model-response-ranking-bert-model-

logistic-regression-from-scratch

mindsdb

MindsDB connects AI models to databases.

mitra

multi-lingual-named-entity-recognition-system

Multilingual Named Entity Recognition (NER) system, powered by RoBERTa, benchmarked against the industry-standard XTREME, utilizes the PAN-X training dataset. Tailored for multinational corporations, financial institutions, and government agencies, it ensures superior accuracy in extracting insights from diverse multilingual data for organizations.

natural-language-processing-techniques-for-depression-diagnosis

Trained on thousands of reddit posts, the aim of this project is to build a natural language processing classifier which takes a person's text data as input and determines if the person is suffering from the ailment of depression or not.