6005 Open source projects that are alternatives of or similar to Lda2vec Pytorch

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Code for CS570, Essentials of Data Science

Машинное обучение на ФКН ВШЭ

Projecting images to latent space with StyleGAN2.

Darwin Core

Reproducible Data Analysis Workflow in Jupyter

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 filters, and more. All exercises include solutions.

This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

Harry Potter and the Allocation of Dirichlet

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

All my experiments with AI and ML

Reinforcement Learning research

Build and train state-of-the-art natural language processing models using BERT

CS224D Assignments

Research on Texas Hold'em AI

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

Material del curso de Deep Learning de la Universidad de Chile

ML

Tensorflow 2.0 Quick Start Guide, published by Packt

PRML algorithms implemented in Python

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

A use-case focused tutorial for time series forecasting with python

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

学习笔记代码

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.

Board files to build Ultra 96 PYNQ image

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Re-implementation of the m-RNN model using TensorFLow

Implementation of Excitation Backprop in Caffe

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Bias detection in the news. Back and front end for areyoufakenews.com

Useful RadioML Examples

Machine learning with Python tutorial at MSU Data Science 2018

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

Materials for my scikit-learn tutorial

Example Numba implementations of functions

深度学习面试汇总，基本知识点的查漏补缺

Machine learning, in numpy

Research Methods for Data Science with Python

A collection of all projects pertaining to different layers in the SDC software stack

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Skin cancer detection project

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Python library for interactive topic model visualization. Port of the R LDAvis package.

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

machine learning

Python code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)

Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch