Stars
Collection of Deep Reinforcement Learning algorithms
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Yet Another Implimentation of Pytroch 0.4.1 and YoloV3 on python3
A PyTorch Implementation of Single Shot MultiBox Detector
Minimal PyTorch implementation of YOLOv3
Solutions to https://dailycodingproblem.com
Implement Towards Effective Low-bitwidth Convolutional Neural Networks
Full implementation of YOLOv3 in PyTorch
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)
Reducing the size of convolutional neural networks
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Quantized Neural Networks - networks trained for inference at arbitrary low precision.
Simple examples to introduce PyTorch
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
My solutions to Cracking the Coding Interview, 6th Edition.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation