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Discover 182 open source projects
Showing 81-100 of 182 projects
xmartlabs/Bender
Bender is a Swift library that makes it easy to build fast neural networks on iOS using TensorFlow models with Metal under the hood.
symisc/sod
An embedded computer vision and machine learning library optimized for IoT and real-time use cases.
keplr-io/quiver
Interactive visualization for Keras convolutional neural networks
safe-graph/graph-fraud-detection-papers
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
wkentaro/pytorch-fcn
PyTorch implementation of Fully Convolutional Networks for semantic segmentation.
mbadry1/Top-Deep-Learning
A curated collection of top 200 deep learning GitHub repositories sorted by stars for AI developers.
zijundeng/pytorch-semantic-segmentation
PyTorch library for building semantic segmentation models for computer vision applications.
lehaifeng/T-GCN
A Temporal Graph Convolutional Network for predicting urban traffic flow using time-series data.
experiencor/keras-yolo2
An open-source YOLO object detection library for training custom models on any dataset, with various backend support.
DTolm/VkFFT
A high-performance Fast Fourier Transform (FFT) library for Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal.
ranahanocka/MeshCNN
A PyTorch library for applying convolutional neural networks to 3D mesh data.
aiff22/DPED
Software and pre-trained models for automatic photo quality enhancement using deep learning.
YunYang1994/TensorFlow2.0-Examples
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
Maratyszcza/NNPACK
Highly optimized library for accelerating neural network inference on multi-core CPUs
adobe/antialiased-cnns
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
qiuqiangkong/audioset_tagging_cnn
This is a Python library for audio tagging using a convolutional neural network model trained on the AudioSet dataset.
hfawaz/dl-4-tsc
A deep learning library for time series classification, useful for AI developers working with sensor and time-based data.
ramprs/grad-cam
Grad-CAM is a deep learning visualization technique for interpreting and explaining CNN-based models.
kakaobrain/fast-autoaugment
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
msracver/FCIS
FCIS is a library for instance-aware semantic segmentation, a computer vision technique useful for AI and robotics applications.
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