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advoc

Vocode spectrograms to audio with generative adversarial networks

beatmapsynthesizer

Automatic Beat Saber mapper for custom songs

beyondsigprop

Fixup initialization implementation

calibtip

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

constnet

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

convnet.pytorch

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

ddim

Denoising Diffusion Implicit Models

deep-griffinlim-iteration

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

deq

[NeurIPS'19] Deep Equilibrium Models

efficient-computing

Efficient-Computing

gloo

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

grokking

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

guided-diffusion

imagenet32_scripts

Scripts for Imagenet 32 dataset

kair

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

libgdsync

GPUDirect Async support for IB Verbs

lws

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

mage

mdenoisers

mdeq

Multiscale Deep Equilibrium Models

nccl

Optimized primitives for collective multi-GPU communication

nccl-tests

NCCL Tests

nemo

NeMo: a toolkit for conversational AI

networking

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

neurips_2020_interplay_randomness_structure

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

nm-sparsity

patchdiffusion-pytorch

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

perftest

Infiniband Verbs Performance Tests

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quantized_diffusion

moving diffusion models for lower precision for inference