CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
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Updated
Oct 15, 2024 - Pascal
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Implementing Searching for MobileNetV3 paper using Pytorch
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
A curated list of dedicated resources and applications
Release of CIFAR-10.1, a new test set for CIFAR-10.
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
image classification with CIFAR10 dataset w/ Tensorflow
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
15+ Machine/Deep Learning Projects in Ipython Notebooks
Comparison of Generative Models in Tensorflow
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Generative Adversarial Networks in TensorFlow 2.0
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
A numpy based CNN implementation for classifying images
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