5921 Open source projects that are alternatives of or similar to Pytorch Normalizing Flows

A Chrome extension that adds a 3d photo effect to instagram pages.

fast.ai early development experiments

Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

My solution to the book <A collection of Data Science Take-home Challenges>

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Python implementation of KNN and DTW classification algorithm

Interactive Web Plotting with Bokeh in IPython notebook

Efficient Image Captioning code in Torch, runs on GPU

深度学习笔记

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Python Deep Dive Course - Accompanying Materials

This repo contains materials for use in a TensorFlow workshop.

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

Lectures for INFO8010 - Deep Learning, ULiège

bamboolib - a GUI for pandas DataFrames

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

Code, exercises and tutorials of my personal blog ! 📝

Some Python Implementations of the Kalman Filter

Time series classification and clustering code written in Python.

A toolkit for #1millionwomentotech community.

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Notebooks and code for the book "Introduction to Machine Learning with Python"

Korean BERT pre-trained cased (KoBERT)

Code for "High-Precision Model-Agnostic Explanations" paper

My blogs and code for machine learning. http://cnblogs.com/pinard

Use evolutionary algorithms instead of gridsearch in scikit-learn

Early stopping for PyTorch

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Exercise notebooks for CVND.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Code samples for AI fundamentals

PyBites Code Challenges

A series of machine learning tutorials for Torch7

My implementations of cs231n 2017

All course materials for the Zero to Mastery Machine Learning and Data Science course.

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

ebook Machine Learning cơ bản

Deep Learning Cookbox

Brushing and linking for big data

fast.ai Courses

机器学习算法的公式推导以及numpy实现

Introduction to Deep Learning for Natural Language Processing

Machine Learning toolbox for Humans

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

Models and examples built with Swift for TensorFlow

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Temporary home for fastai v2 while it's being developed

An autonomous AI racecar using NVIDIA Jetson Nano

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).

EPFL Machine Learning Course, Fall 2019

Notebooks for MXNet

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening