PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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Updated
Feb 9, 2021 - Python
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader
Improved Fisher Vector Implementation- extracts Fisher Vector features from your data
Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Code for skeletal based Human Action Recognition, done as part of my Master's thesis
Automating breast cancer diagnosis using histological data
This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.
FVKit: Matlab code to extract Fisher Vectors
Image classification using MATLAB and VLFeat toolkit
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