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
May 22, 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.
image classification with CIFAR10 dataset w/ Tensorflow
15+ Machine/Deep Learning Projects in Ipython Notebooks
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Implementing Searching for MobileNetV3 paper using Pytorch
A curated list of dedicated resources and applications
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
Predict CIFAR-10 labels with 88% accuracy using keras.
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Comparison of Generative Models in Tensorflow
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
AlexNet model from ILSVRC 2012
Release of CIFAR-10.1, a new test set for CIFAR-10.
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset
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