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Discover 817 open source projects
Showing 741-760 of 817 projects
Linketic/CityGaussian
Large-scale 3D scene reconstruction and novel view synthesis using Gaussian representations.
yandex-research/rtdl
A research repository focused on tabular deep learning, providing papers and Python packages.
vietnh1009/QuickDraw
Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.
snap-research/EfficientFormer
EfficientFormer is a deep learning model for efficient image segmentation and object detection.
fyu/drn
A Python library that implements Dilated Residual Networks, a type of convolutional neural network architecture.
serengil/tensorflow-101
A comprehensive introduction to deep learning using TensorFlow, covering a range of AI and machine learning topics.
yu4u/noise2noise
An unofficial Keras implementation of the Noise2Noise image denoising algorithm, useful for vibe coders working with AI-powered tools.
ethanhe42/channel-pruning
A library for accelerating deep neural networks through channel pruning, a model compression technique.
neuronika/neuronika
Rust-based library for building dynamic neural networks and performing autodifferentiation.
rixwew/pytorch-fm
A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.
guillaume-chevalier/seq2seq-signal-prediction
A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.
mattm/simple-neural-network
A simple Python script demonstrating the backpropagation algorithm for training a neural network.
Chen-Cai-OSU/awesome-equivariant-network
A paper list for equivariant neural networks, a powerful AI architecture for symmetry-aware ML models.
locuslab/convmixer
Implementation of the ConvMixer architecture, a novel neural network design for image classification.
bitzhangcy/Neural-PDE-Solver
This is a library for solving partial differential equations using neural networks.
richliao/textClassifier
A text classifier library that uses Hierarchical Attention Networks for document classification.
seongjunyun/Graph_Transformer_Networks
An implementation of Graph Transformer Networks, a neural network architecture for graph-structured data.
DSE-MSU/DeepRobust
A PyTorch library for attacking and defending deep learning models against adversarial examples.
pdebench/PDEBench
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
sunset1995/DirectVoxGO
A Python library for fast reconstruction of neural radiance fields from direct voxel grid optimization.
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