bit-wq

bit-wq

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archiveis

A simple Python wrapper for the archive.is capturing service

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digital-wellbeing-experiments-toolkit

Code components for starting your own Digital Wellbeing experiments

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StreamDiffusion

StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation

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ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

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spotube

🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!

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sigtop

Export messages from Signal Desktop

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mwatoi

Android to iOS WhatsApp Transferrer

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skypilot

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

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alibi

Algorithms for explaining machine learning models

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pytorch-simple-affnet

A PyTorch implementation of AffordanceNet

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STCAE

This repo contains the PyTorch code for an encoder-decoder model for affordance reasoning and segmentation in RGB-D videos.

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xreason

XReason - formal reasoning about explanations for ML models

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presets-cream-of-the-crop

Jason Fletcher's curated preset pack containing only the best of the best of all released Milkdrop presets. This is the default preset pack in most new projectM releases.

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LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

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List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

License:CC-BY-4.0Stargazers:2905Issues:0Issues:0

gpt4all

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

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latex_cv

CV written using LaTeX

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xai

XAI - An eXplainability toolbox for machine learning

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iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

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graspit

Fork of graspit simulator to migrate to Qt5

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deep-darts

DeepDarts is the first deep learning-based automatic scoring system for steel-tip darts. It predicts dart scores from a single image taken from any camera angle.

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Privacy-Attacks-in-Machine-Learning

Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.

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