Python/Rust implementations and notes from Proofs Arguments and Zero Knowledge

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Deep Learningpazk
Overview

What is this?

This is where I'll be collecting resources related to the Study Group on Dr. Justin Thaler's Proofs Arguments And Zero Knowledge Book. The notes posted here will be copied out of my personal Obsidian note client; certain features like image and latex embedding will not render on Github, though should still be readable. If you would like to read them with latex rendering, a hack solution might be to copy them to a HackMD document.

The group open to everyone, and runs out of the ZK hack discord server by myself and the nice folks at the Zero Knowledge Podcast.

Have a nice repo of your own? I'd love to link to it! Questions about this resource? DM me on Twitter.

Owner
Thor
zk wink
Thor
PyKale is a PyTorch library for multimodal learning and transfer learning as well as deep learning and dimensionality reduction on graphs, images, texts, and videos

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Semantic Edge Detection with Diverse Deep Supervision

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The official implementation of CVPR 2021 Paper: Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.

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zeus is a Python implementation of the Ensemble Slice Sampling method.

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Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

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Implementation of various Vision Transformers I found interesting

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KIND: an Italian Multi-Domain Dataset for Named Entity Recognition

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IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales

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Official Implementation for HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

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Piotr - IoT firmware emulation instrumentation for training and research

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Newt - a Gaussian process library in JAX.

Newt __ \/_ (' \`\ _\, \ \\/ /`\/\ \\ \ \\

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Official PyTorch implementation of RobustNet (CVPR 2021 Oral)

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Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer

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Code for paper "Learning to Reweight Examples for Robust Deep Learning"

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PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

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Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Deep-Unsupervised-Domain-Adaptation Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E.

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Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation

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Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

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Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

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