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awesome-anomaly-detection
A complete list of papers on anomaly detection.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
mli-release
Public source code for the paper "Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes"
shrinkbench
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
resume
个人中文简历 Latex 源码 https://hijiangtao.github.io/
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
loss-landscape
Code for visualizing the loss landscape of neural nets
MixNMatch
Pytorch implementation of MixNMatch
logdeep
log anomaly detection toolkit including DeepLog
RepDistiller
Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
mmdetection
Open MMLab Detection Toolbox and Benchmark
RandWireNN
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
gae
Implementation of Graph Auto-Encoders in TensorFlow
Synchronized-BatchNorm-PyTorch
Synchronized BatchNorm in PyTorch 1.0
awesome-architecture-search
A curated list of awesome architecture search resources