564 Open source projects that are alternatives of or similar to AI_Learning_Hub

Implementations of machine learning algorithm by Python 3

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Implementation of VLAE

A Latent Dirichlet Allocation implementation in Python.

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

PixelVAE with or without regularization

DGMs for NLP. A roadmap.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

bitcoin prediction algorithms

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

A collection of Methods and Models for various architectures of Artificial Neural Networks

基于机器学习和OCR的车牌识别系统 @fujunhao

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Matlab library for gradient descent algorithms: Version 1.0.1

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Machine Learning algorithms coded from scratch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Efficient Algorithms for L0 Regularized Learning

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Demultiplexing pooled scRNA-seq data with or without genotype reference

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Tensorflow implementation of the Manifold Mixup machine learning research paper

A document covering machine learning basics. 🤖📊

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

My pytorch implementation for GAN

Implementing Clustering Algorithms from scratch in MATLAB and Python

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

A list of popular deep learning models related to classification, segmentation and detection problems

Library for Multi-objective optimization in Gradient Boosted Trees

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

Improving MMD-GAN training with repulsive loss function

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

A basic and simple tool for code auto completion

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Torch Implemention of ECCV'16 paper: Attribute2Image

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

Super fast simple k-means implementation for unidimiensional and multidimensional data.

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

Formal Psychological Models of Categorization and Learning

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

The collaboration workspace for Machine Learning

Iterative unfolding for Python

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Cloud-native Financial Reinforcement Learning

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1