560 skills found · Page 1 of 19
BoltzmannEntropy / Interviews.AIIt is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
JunMa11 / SegLossOdysseyA collection of loss functions for medical image segmentation
facebookresearch / DenoiserReal Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
bermanmaxim / LovaszSoftmaxCode for the Lovász-Softmax loss (CVPR 2018)
KaiyangZhou / Pytorch Center LossPytorch implementation of Center Loss
ContextualAI / HALOsA library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
csteinmetz1 / AuralossCollection of audio-focused loss functions in PyTorch
vandit15 / Class Balanced Loss PytorchPytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
jeanfeydy / GeomlossGeometric loss functions between point clouds, images and volumes
duxuhao / Feature SelectionFeatures selector based on the self selected-algorithm, loss function and validation method
shruti-jadon / Semantic Segmentation Loss FunctionsThis Repository is implementation of majority of Semantic Segmentation Loss Functions
harleyszhang / Dl Note深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。
cvqluu / Angular Penalty Softmax Losses PytorchAngular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
yatengLG / Focal Loss Pytorch全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
happynear / AMSoftmaxA simple yet effective loss function for face verification.
dingkeyan93 / DISTSIQA: Deep Image Structure and Texture Similarity Metric
Wizaron / Instance Segmentation PytorchSemantic Instance Segmentation with a Discriminative Loss Function in PyTorch
gpeyre / SinkhornAutoDiffToolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
kozistr / Pytorch Optimizeroptimizer & lr scheduler & loss function collections in PyTorch
pranaymanocha / PerceptualAudioPerceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
