856 Open source projects that are alternatives of or similar to Student Teacher Anomaly Detection

A collection of notebooks for Natural Language Processing from NLP Town

Self-Supervised depth kalilia

Create HTML profiling reports from pandas DataFrame objects

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

Serverless Inferencing on Kubernetes

Machine Learning (EE 5184) in NTU

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

TCyb 2018: Graph learning for multiview clustering

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Overview of resources on AI and related topics

Ladder Variational Autoencoders (LVAE) in PyTorch

🤖🎨🎸A curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.

High performance unsupervised text tokenization for Ruby

Interpretability and explainability of data and machine learning models

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Datasets, papers and books on AI & Finance.

Model for learning document embeddings along with their uncertainties

Unsupervised ML algorithm for predictive modeling and time-series analysis

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

A 2D space exploration and mining game made with Godot and our AI framework

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Visual Studio Code client for TabNine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode

A comprehensive list of awesome contrastive self-supervised learning papers.

🤖 An Open Source Texas Hold'em AI

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

A-Paper-A-Week

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

A Configurable Recommender Systems Simulation Platform

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

SincNet is a neural architecture for efficiently processing raw audio samples.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

An open-source platform for Visual AI.

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

ADENINE: A Data ExploratioN PipelINE

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

Arnold - DOOM Agent

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Deployment configuration for project Thoth

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

A customisable 2D platform for agent-based AI research

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A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

High-performance Vision library in Python. Scale your research, not boilerplate.

Best Practices, code samples, and documentation for Computer Vision.