5921 Open source projects that are alternatives of or similar to Rl Adventure

Various Notebooks for Lernapparat.de

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Codes related to various ML Hackathons

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

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

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

python tutorial

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

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）

Auto-ReID and Other Person Re-Identification Projects

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Go binding for TensorFlow Lite

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Multi-Graph Convolutional Neural Networks

Materials for a short course on convex optimization.

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

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

Reference deployment of JupyterHub and nbgrader on a single server

Auxiliary Classifier Generative Adversarial Networks in Keras

Code snippets from Kite blog posts

Python code for the fast bilateral solver

Python tutorials for introduction to machine learning

Intro to deep learning for medical imaging lesson, by MD.ai

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Example of "biological" learning for MNIST

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Deep learning codes and projects using Python

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Python for Finance Cookbook, published by Packt

Text detection model that combines Retinanet with textboxes++ for OCR

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

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线性代数笔记

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

LargitData Course Material

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

Run any standard Python code quality tool on a Jupyter Notebook

RadIO is a library for data science research of computed tomography imaging

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Repository for coursera specialization Applied Data Science with Python by University of Michigan

just some code snippet

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Decentralized Machine Learning Client

This trading-gym is the first trading for agent to train with episode of short term trading itself.

A collection of tools to collect and download various data.

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.