6351 Open source projects that are alternatives of or similar to Gluon Api

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Homepage for STAT 157 at UC Berkeley

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

Code for a workshop on statistical interference using computational methods in Python.

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

A fast, extensible, transparent python library for backtesting quantitative strategies.

Project which implements extraction of data from scatter plots

Reference deployment of JupyterHub and nbgrader on a single server

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

An automatic beatmap generator using Tensorflow / Deep Learning.

Previous version of eeg-notebooks

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

code for reading and processing Allen Institute for Brain Science data

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

A Repository of Notebooks for the Python Lecture Site

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

A PyTorch implementation of GraphRel

SegNet model implemented using keras framework

Visualizations based on best open science practices.

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Decentralized Machine Learning Client

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Machine learning glossary

Home for Elasticsearch examples available to everyone. It's a great way to get started.

Data preparation and loader for AMASS

Project containig related material for my TensorFlow articles

Run M Files from Python - GNU Octave to Python bridge

Build a CNN network to predict 3D bounding box of car from 2D image.

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

Realistic Handwriting with Tensorflow

Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)

Open Source Landmarking Library

A set of tutorials for torchtext

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

🎄 Virtual DOM for Python

[ko] 패스트캠퍼스 강의 자료

This is code of book "Learn Deep Learning with PyTorch"

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Find surprising moves in chess games

Train an RL agent to localize actively (PyTorch)

Getting start with PySpark and MLlib

Algorithms course materials for the Lede program at Columbia Journalism School

爬虫+数据分析实战项目

Just another DL library

Various examples for Google Earth Engine in Python using Jupyter Notebook

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

机器学习、深度学习的学习路径及知识总结

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Multi-Graph Convolutional Neural Networks

Contains Jupyter Notebooks of stuff I am working on.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)