7000 Open source projects that are alternatives of or similar to Dopamine

Data augmentation for NLP

CNN image classifier implemented in Keras Notebook 🖼️.

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

AI research environment for the Atari 2600 games 🤖.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

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

最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

A curated list of references for MLOps

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

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

🚀 Build and manage real-life data science projects with ease!

🍟 Stanford CS229: Machine Learning

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

XAI - An eXplainability toolbox for machine learning

Self-hosted IPTV/NVR/CCTV/Video service (Community version)

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

《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！

Samples and Tools for Windows ML.

Open-source implementation of Google Vizier for hyper parameters tuning

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

An app to analyze the text and fixing the anomaly of the message that deviates from what is standard, normal, or expected. #AndroidDevChallenge

speaker diarization system using an LSTM

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.

Multiple implementations for abstractive text summurization , using google colab

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Grakn Knowledge Graph Library (ML R&D)

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Code, exercises and tutorials of my personal blog ! 📝

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Food Classification with Deep Learning in Keras / Tensorflow

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Flutter-Python rubiks cube solver.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

A collection of notebooks of my Machine Learning class written in python 3

A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Machine learning discord bot , Detects diseases within seconds with just an xray scan

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Repo for articles in my personal blog and Medium

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

Evolutionary Algorithms Framework

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Caffe2 is a lightweight, modular, and scalable deep learning framework.

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Open source platform for the machine learning lifecycle

Tensorflow实例

Pytorch implementation of the DeepDream computer vision algorithm

Debugging, monitoring and visualization for Python Machine Learning and Data Science