A beginners project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.

Discover how Tabular data space is being transformed by Kaggle competitions, the open-source community, and generative AI.

Discover how Tabular data space is being transformed by Kaggle competitions, the open-source community, and generative AI.

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

Participated in Gradio Block Competition and create an interactive chatbot trained on Rick and Morty’s conversation.

Trained Deep Reinforcement Learning model on Unity 3D Environment.

Urdu Automatic Speech Recognition is SOTA Solution is here and I am looking for opensource contribution to reach 20 WER by using text and audio processing.

Open Source Data Science (OSDS) Monocular Depth Estimation, Turn 2d photos into 3d photos, show your grandma the awesome results.

Creating guide for AutoXGB which includes training and running web server.

Classifying chest X-Ray images for Pneumonia

Audio preprocessing and finetuning using wav2vec2-large-xlsr model on AI4D Baamtu Datamation - automatic speech recognition in WOLOF data.

SQLLEX is a python library for comfortable and safe working with databases.

I scored 40th rank in this DrivenData competition and my Jounery started with simple LSTM.

Automated System that collect data from web on Vaccine and created Data Analysis Dashboard.

We need to design the model that will predict likely degradation rates at each base of an RNA molecule.

This project is one of my machine learning and data-driven web apps made using Streamlit. The goal of this project is to visualize various sentiment and exploratory analysis on tweets about US airlines.

Exploratory Data Analysis and Machine learning techniques were used to process the Online book market.

In this project, we will be exploring the hotel reviews and the rating base on customer hotel experience. We will be also looking at feature engineering and designing a deep learning model to predict ratings based on reviews.

The objective of this challenge is to create a machine translation system capable of converting text from French into Fongbe or Ewe.

I have created Dashboard out of simple engineer data set, you can read more here.

The goal of this challenge is to estimate the wind speeds of storms at different points in time using satellite images captured throughout a storm’s life cycle and the temporal memory of the storm.

Build data pipelines, the easy way. Orchest is a tool for building data pipelines that don’t require DAGs and frameworks. The environment is simple to navigate, and you can code Python, R, and Julia.

Discover your reading patterns and recommendations for a new book to read.

build an application programming interface (API) for your machine learning model and then deploy it with simple code.

OmdenaLore is world’s biggest AI4Good library for real-world projects.

Using FastAI.jl library to classify images from the Imagnet dataset.

We will use data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities.

Designing machine learning pipeline with few lines of codes using Orchest. You will learn to preprocess the data, train the machine learning model, and evaluate the results.

Discord bot using DailoGPT pretrained model on Rick& Morty Dataset from Kaggle.

Learn how much Singapore is saving energy per years by recycling plastics, paper, glass, ferrous and non-ferrous metal.