Matt Bodenham's Projects
Code for Deep Salient Model Compression for Efficient Video Compression on Mobile Devices
Python 3 Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Notebook for 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Using value iteration to find the optimum policy in a grid world environment.
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
User-based collaborative filtering movie recommender using MovieLens dataset
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"
XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
Implementing different regression models in Python without the use of machine learning frameworks.
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Single Shot MultiBox Detector model to detect cars from the perspective of a UAV
Program to create woodgrain effect when using wood PLA filament on Creality 3D Ender-3.