Adarsh's starred repositories

learn-data-munging

Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.

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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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lychee

⚑ Fast, async, stream-based link checker written in Rust. Finds broken URLs and mail addresses inside Markdown, HTML, reStructuredText, websites and more!

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Rerender_A_Video

[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

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TTS

πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

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Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

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object-detection

This is an ongoing project of designing a custom object detector from scratch. You can also use the pytorch-lightning training pipeline to train your own model.

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yolov5

YOLOv5 πŸš€ in PyTorch > ONNX > CoreML > TFLite

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interpretable-ml-book

Book about interpretable machine learning

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LLMs-Experiment

Anything and everything from LLMs to Applications. Always cooking πŸ‘¨β€πŸ³

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sd-webui-segment-anything

Segment Anything for Stable Diffusion WebUI

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streamlit_prophet

Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.

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yolov5

YOLOv5 πŸš€ in PyTorch > ONNX > CoreML > TFLite

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PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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project-based-learning

Curated list of project-based tutorials

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Tensor-Puzzles

Solve puzzles. Improve your pytorch.

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scikit-llm

Seamlessly integrate LLMs into scikit-learn.

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gpt4all

GPT4All: Chat with Local LLMs on Any Device

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tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❀️

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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Custom_YOLOv8_Object_Track

The Wildlife Tracker Project is an Object Tracker customized for tracking Wildlife in India. This project is part of a collaborative effort with Weights and Biases to create a beginner friendly introduction to YOLOv8.

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