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iphoneosdevicesupport

Xcode iPhoneOS DeviceSupport files (6.0 - 14.0)

jacobian_regularizer

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

jave

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jocor

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

jpeg

A python wrapper to open a JPEG image and extract the DCT coefficients

jpeg2dct

jpeg_toolbox_python

extract the dct coefficient of jpeg images. Provide c and python interface.

kamalengine

Knowledge Amalgamation Engine

kaolin

PyTorch library aimed at accelerating 3D deep learning research

keras_imagenet

Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch

kfac

An implementation of KFAC for TensorFlow

kgemb

Hyperbolic Knowledge Graph embeddings.

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

l-gm-loss

Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"

l2t-ww

Learning What and Where to Transfer (ICML 2019)

l3c-pytorch

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

labelpropagation

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

landmark-detection

Several landmark detection algorithms, implemented in PyTorch.

large_scale_ood

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

latent-composition

ld

Localization Distillation for Object Detection

learn-to-cluster

Learning to Cluster Faces on an Affinity Graph (CVPR 2019)

learning-loss-for-active-learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

learning-similarity-conditions

learning-to-reweight-examples

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

learningtolearn

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

learnopencv

Learn OpenCV : C++ and Python Examples