This is a Python implementation of cover trees, a data structure for finding nearest neighbors in a general metric space (e.g., a 3D box with periodic boundary conditions). Cover trees are described in two papers hosted here: http://hunch.net/~jl/projects/cover_tree/cover_tree.html The implementation here owes a great deal to PyCoverTree, by Thomas Kollar, Nil Geisweiller, Emanuele Olivetti, which can be found here: http://github.com/emanuele/PyCoverTree The API follows that of Anne M. Archibald's KD-tree implementation for scipy (scipy.spatial.kdtree). Other than specifying a distance function in the constructor, this module can be used as a drop-in replacement for kdtree.
Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
Overview
PyTorch implementation for NED. It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.
Neural Emotion Director (NED) - Official Pytorch Implementation Example video of facial emotion manipulation while retaining the original mouth motion
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Physical Anomalous Trajectory or Motion (PHANTOM) Dataset
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This repository is a series of notebooks that show solutions for the projects at Dataquest.io.
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Main Results on ImageNet with Pretrained Models
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Pointer-generator - Code for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks
Note: this code is no longer actively maintained. However, feel free to use the Issues section to discuss the code with other users. Some users have u
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Face and Pose detector that emits MQTT events when a face or human body is detected and not detected.
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CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
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PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations" [arXiv 2022].
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10 Jan 02, 2023
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-a2c-ppo-acktr Update (April 12th, 2021) PPO is great, but Soft Actor Critic can be better for many continuous control tasks. Please check out
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A data-driven approach to quantify the value of classifiers in a machine learning ensemble.
Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The
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This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".
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MiniSom is a minimalistic implementation of the Self Organizing Maps
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This is the official github repository of the Met dataset
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SGPT: Multi-billion parameter models for semantic search
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Keras implementations of Generative Adversarial Networks.
This repository has gone stale as I unfortunately do not have the time to maintain it anymore. If you would like to continue the development of it as
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Make a Turtlebot3 follow a figure 8 trajectory and create a robot arm and make it follow a trajectory
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CNN Based Meta-Learning for Noisy Image Classification and Template Matching
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