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paper-picture-writing-code

MLNLP: Paper Picture Writing Code

paper_downloader

Download papers and supplemental materials from open-access paper website, such as AAAI, ACCV, AISTATS, COLT, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS.

peppa-facial-landmark-pytorch

Facial Landmark Detection based on PyTorch

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

privacy

Library for training machine learning models with privacy for training data

prompt-engineering-for-developers

吴恩达大模型系列课程中文版，包括《Prompt Engineering》、《Building System》和《LangChain》

pt-femb-face-embeddings

Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.

pyaam

Active Appearance Model implemented by python

pyaam-1

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python-signal-resampler

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-cifar-models

Pretrained models on CIFAR10/100 in PyTorch

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-distributed-training

Simple tutorials on Pytorch DDP training

pytorch-fpn

Feature Pyramid Networks in PyTorch

pytorch-pretrained-biggan

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

re-whatsapp

Reverse engineering WhatsApp. Documentation and protocols.

relu_networks_overconfident

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]

repnet-mdnet-vehiclereid

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现

rethinking-pyro

Statistical Rethinking with PyTorch and Pyro - WIP

rlkit

Collection of reinforcement learning algorithms

sb-fbsde

Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

scaffold-federated-learning

PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).

scaffold-pytorch

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning