Pinned Repositories
cnn-quantization
Quantization of Convolutional Neural networks.
deep_rl_experiments
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
kaggle_human_protein
kaggle_planet_competition
Planet Understanding the Amazon from Space competition keras implementation
linear-lognormal-attention
mamba
Mamba SSM architecture
nn-quantization-pytorch
pytorch-qcr
Pytorch library for quantization, calibration and inference of the models
Tabled-ANS
ynahshan's Repositories
ynahshan/nn-quantization-pytorch
ynahshan/linear-lognormal-attention
ynahshan/pytorch-qcr
Pytorch library for quantization, calibration and inference of the models
ynahshan/deep_rl_experiments
ynahshan/kaggle_planet_competition
Planet Understanding the Amazon from Space competition keras implementation
ynahshan/Tabled-ANS
ynahshan/cnn-quantization
Quantization of Convolutional Neural networks.
ynahshan/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
ynahshan/kaggle_human_protein
ynahshan/mamba
Mamba SSM architecture
ynahshan/mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
ynahshan/nn-varfloat-pytorch
ynahshan/pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
ynahshan/torch-graph
Execution graph library for pytorch
ynahshan/training
Reference implementations of training benchmarks