@sumanth_077

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11 July 2024 16h13

2. Hugging Face Find 80K+ datasets on Hugging Face. https://
huggingface.co/datasets

11 July 2024

Awesome Data GitHub Repository with Public Datasets

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11 July 2024 16h13

1. Awesome Data Github Repository In this repo, you can find direct links to all the Public datasets, and you can find all sorts of datasets like Images, Text, Audio, and Tabular.

11 July 2024

7 Free Public Datasets for Your Machine Learning Projects

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11 July 2024 16h12

If you are looking for Public Datasets to work on Machine Learning. Here are 7 Free Data Sources where you can find one for your next Project:

11 July 2024

Daily Content on Python, Data Science, ML and LLMs

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08 July 2024 16h46

That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.

PyCaret: Open-Source Low-Code Python Library for ML Automation

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08 July 2024 16h46

7. PyCaret An open-source, low-code Python Library to automate the machine learning workflows:

Drawdata: Python Library for Drawing 2D Datasets in Jupyter

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08 July 2024 16h46

6. Drawdata A python library that allows you to draw a 2-D dataset of any shape in a Jupyter Notebook.

MLX: Deep Learning Framework for Machine Learning on macOS

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08 July 2024 16h46

5. MLX: A deeplearning framework for machine learning on macOS! You can efficiently train and deploy ML models. The repo also includes examples to run open-source models using MLX, like LLaMA, Mixtral 8x7B, LoRA, CLIP, Whisper and Stable Diffusion. https://
github.com/ml-explore/mlx

LazyPredict: Train and Evaluate All ML Models Instantly

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08 July 2024 16h46

4. LazyPredict Lazy Predict allows you to train, test and evaluate all your ML models at once with just a few lines of code.

Pandas AI: Natural Language Data Analysis and Visualization

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08 July 2024 16h45

2. Pandas AI Pandas AI adds Generative AI capabilities to Pandas. Now you can analyze complex data frames and plot visualizations just by using natural language.