ikka

Pytorch based speech enhancement toolkit.

Sentiment analyzer for your tweets.

NLP tool to extract emotional phrase from tweets 🤩

Most upvoted solution for Data Science for Good: City of Los Angeles Competition Kaggle.

Complete analysis of zomato banglore data and LSTM model for sentimental analysis of reviews.

Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

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:sparkles: Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

EDA,feature engineering and keras model for TMDB box office prediction

kaggle forest cover prediction challenge data analysis and Random forrest model

scrapping google alerts

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Research notes and extra resources for all the work at explodinggradients.com

Useful NLP notebooks from kaggle.

A list of exercises related to audio processing in python

A PyTorch-based Speech Toolkit

A simple noise removal algorithm to suppress different common background noises from narrated audio clips

A deep learning tool to transcribe any conversations.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

The PyTorch-based audio source separation toolkit for researchers

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks

creating a portfolio website

A simple real estate application.This is to refresh OOP concepts and it's implementation in python

The tool behind self driving cars ! implementation of semantic and intstant segmentation

classiifcation model for sustainable

Contains all the materials for conducted workshops and talks

How to integrate MLJAR AutoML with exteranl data sources: PostgreSQL, MySQL, MS SQL, ...

kernel on imdb reviiews binary classification using keras

natural language processing project on topic modelling and spell checking

common data analysis and machine learning tasks using python

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kaggle pubg placement prediction challenge EDTA and Model

repo for stamp kochi 2019 ML challenge

a wordCloud creating software for facebook pages using scraping posts

Environments by the Prime Intellect Research Team

Code and Data for Evaluating the Evaluators

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SOTA metrics for evaluating Retrieval Augmented Generation (RAG)

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

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This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Repo to add code and data for synthetic test data generation

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Examples and guides for using the OpenAI API

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

demo for blade2blade

Adversarial Training and SFT for Bot Safety Models

Evaluation of the Open-Assistant language models

Repo to store some files

Repository for TweetEval

Create ELK stack using Docker Compose

Demo apps and code snippets in Python, Javascript and PHP demonstrating how to use various modules of the MediaWiki Action API

portfolio website

Do everything from data collection from reddit to training a machine learning model in just two lines of python code!

Stabilize and achieve excellent performance with transformers

This repository contains the solution write-up and the code corresponding to our Kaggle Commonlit's final solution

Deploy XGBoost trained models in pure python

python script to use in i3wm for weather display

The remake of the https://github.com/biubug6/Pytorch_Retinaface

Examples how MLJAR can be used

Docs for mljar-supervised :books:

A place for my machine learning experiments

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

⭐️ Companies that don't have a broken hiring process

News classification model using tf 1.15

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A repo for practicing Data structures and it's implementations

A repo to save notebooks of online hackathons.

scikit-learn: machine learning in Python

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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🚀✨ Help beginners to contribute to open source projects

Working with and analyzing Wikipedia Data

Trying to use recommender systems based on ratings, in ML. (keras framework)

film revenue prediction challenge

different analysis of titanic accident (data from kaggle)

Deep Learning Specialization by Andrew Ng on Coursera.

Google Summer of Code 2018

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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An interactive, browser-based graphing library for Python :sparkles:

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Lab works for semester five

StackNet is a computational, scalable and analytical Meta modelling framework

Learn Java easily. A collection of simple programs primarly focussed on the KTU syllabus for Java

i3wm ,i3blocks configure

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configeration of i3wm and polybar

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a webscraper using BeautifulSoup insearch for external links