Yaniv Blumenfeld (yanivbl6)

yanivbl6

Geek Repo

Company:Technion

Location:Haifa, Israel

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Yaniv Blumenfeld's repositories

quantized_meanfield

This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off

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BeyondSigProp

Fixup initialization implementation

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gloo

A Mellanox Branch for GLOO implementing a completely offloaded Allreduce [Hackathon implementation]

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Imagenet32_Scripts

Scripts for Imagenet 32 dataset

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advoc

Vocode spectrograms to audio with generative adversarial networks

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BeatMapSynthesizer

Automatic Beat Saber mapper for custom songs

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CalibTIP

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

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ConstNet

A code source for replicating the experiments published in the paper: Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?

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convNet.pytorch

ConvNet training using pytorch, adjusted for simulated low-bit accumulators

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ddim

Denoising Diffusion Implicit Models

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deep-griffinlim-iteration

PyTorch implementation for Deep Griffin-Lim Iteration paper(https://arxiv.org/abs/1903.03971)

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deq

[NeurIPS'19] Deep Equilibrium Models

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Efficient-Computing

Efficient-Computing

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grokking

unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"

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KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

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lws

Fast spectrogram phase recovery using Local Weighted Sums (C/Python/Matlab)

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mdeq

Multiscale Deep Equilibrium Models

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NeMo

NeMo: a toolkit for conversational AI

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networking

Enhanced networking support for TensorFlow. Maintained by SIG-networking.

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neurips_2020_interplay_randomness_structure

Repository accompanying the NeurIPS 2020 conference paper "The interplay between randomness and structure during learning in RNNs"."

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PatchDiffusion-Pytorch

Code for the Paper "Improving Diffusion Model Efficiency Through Patching"

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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quantized_diffusion

moving diffusion models for lower precision for inference

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waveglow

A Flow-based Generative Network for Speech Synthesis

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