20 April 2019 Fast & Simple Resource-Constrained Learning of Deep Network Structure MorphNet is a method for learning deep network structure during training.
20 April 2019 Bag of Tricks and A Strong Baseline for Deep Person Re-identification Bag of Tricks and A Strong Baseline for Deep Person Re-identification
20 April 2019 Tensorflow implementation of Densely Connected Bidirectional LSTM Tensorflow implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification.
12 April 2019 A mix of GAN implementations including progressive growing A mix of GAN implementations including progressive growing
12 April 2019 Gathers machine learning and deep learning models for Stock forecasting Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
12 April 2019 Stereo R-CNN based 3D Object Detection for Autonomous Driving Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
12 April 2019 High-resolution networks for object detection This is the official code of High-Resolution Representations for Object Detection.
12 April 2019 The LiDAR segmenters library for segmentation-based detection The LiDAR segmenters library, for segmentation-based detection.
12 April 2019 Semantic Image Synthesis with Spatially-Adaptive Normalization Semantic Image Synthesis with Spatially-Adaptive Normalization.
11 April 2019 Example how to run TensorFlow lib C API Example how to run TensorFlow lib C API on Windows, Linux and macOS(Darwin).
11 April 2019 Use Unity to generate synthetic images for deep learning image segmentation This project will help you get up to speed with generating synthetic training images in Unity.
11 April 2019 Aerial Semantic Segmentation Benchmark The AeroScapes aerial semantic segmentation benchmark comprises of images captured using a commercial drone from an altitude range of 5 to 50 metres.
30 March 2019 The example of running Pose Estimation using Core ML This project is Pose Estimation on iOS with Core ML.
24 March 2019 The author's officially unofficial PyTorch BigGAN implementation The author's officially unofficial PyTorch BigGAN implementation.
24 March 2019 A PyTorch implementation of BigGAN with pretrained weights and conversion scripts An op-for-op PyTorch reimplementation of DeepMind's BigGAN model with the pre-trained weights from DeepMind.
24 March 2019 PyTorch implementation of Grad-CAM PyTorch implementation of Grad-CAM (Gradient-weighted Class Activation Mapping).
20 March 2019 Experiment tracking for machine and deep learning projects ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
20 March 2019 An open source python library for scalable Bayesian optimisation Dragonfly is an open source python library for scalable Bayesian optimisation.
20 March 2019 An Implementation of Distributed Prioritized Experience Replay in PyTorch PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X).
20 March 2019 Kaggle Humpback Whale Identification Challenge 2019 2nd place code This is the source code for my part of the 2nd place solution to the Humpback Whale Identification Challenge hosted by Kaggle.com.
20 March 2019 ROS 2 enabled Machine Learning algorithms This repository contains a number of ROS and ROS 2 enabled Artificial Intelligence (AI) and Reinforcement Learning (RL) algorithms that run in selected environments.
25 February 2019 Deep learning on graphs with Keras Spektral is a framework for relational representation learning, built in Python and based on the Keras API.
25 February 2019 Feature Denoising for Improving Adversarial Robustness Feature Denoising for Improving Adversarial Robustness.
25 February 2019 Custom Object Detection and Classification Training Custom Object Detection and Classification Training.
25 February 2019 Weakly Supervised Semantic Segmentation list This repository contains lists of state-or-art weakly supervised semantic segmentation works. Papers and resources are listed below according to supervision types.