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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Build your neural network easy and fast, 莫烦Python中文教学
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Tutorial on scikit-learn and IPython for parallel machine learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Image Segmentation and Object Detection in Pytorch
Neural Turing Machines (NTM) - PyTorch Implementation
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
PyTorch implementation of the CortexNet predictive model
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
Single Image Depth Estimation with Feature Pyramid Network
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Deformable Convolutional Networks on caffe
code for py-R-FCN-multiGPU maintained by bupt-priv
Corrupted labels and label smoothing
Relation Networks for object detection based pytorch
Context-driven data augmentation for Object Detection (ECCV'18)
Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification
🎮 Converting Fortnite texture to PUBG texture using CycleGAN