Stars
A collection of modern/faster/saner alternatives to common unix commands.
🎓 Path to a free self-taught education in Computer Science!
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🌺Algorithm papers, coursewares, documents, notes and other materials are constantly being updated.
My solutions to the programming assignments of the Stanford Compiler course.
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Datasets, Transforms and Models specific to Computer Vision
Pytorch🍊🍉 is delicious, just eat it! 😋😋
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifi…
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
😁[VCIP'19 Oral] Official PyTorch Implementation of Facial Motion Prior Networks for Facial Expression Recognition
A landmark-driven method on Facial Expression Recognition (FER)
Loss and accuracy go opposite ways...right?
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…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
State-of-the-art 2D and 3D Face Analysis Project
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Media and Cognition course project, facial expression recognition using ResNet-50
Code and hyperparameters for the paper "Generative Adversarial Networks"