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All Algorithms implemented in Python
A curated list of awesome Machine Learning frameworks, libraries and software.
OpenMMLab Detection Toolbox and Benchmark
PyTorch implementations of Generative Adversarial Networks.
A paper list of object detection using deep learning.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A PyTorch implementation of EfficientNet
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Simple examples to introduce PyTorch
SwinIR: Image Restoration Using Swin Transformer (official repository)
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
๐ฅ TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
A highly efficient implementation of Gaussian Processes in PyTorch
Semantic Segmentation Architectures Implemented in PyTorch
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
PyTorch for Semantic Segmentation
๐ Multivariate exploratory data analysis in Python โ PCA, CA, MCA, MFA, FAMD, GPA
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Awesome Generative Adversarial Networks with tensorflow