8888 Open source projects that are alternatives of or similar to Awesome Ai Ml Dl

Data augmentation for NLP

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Datasets, tools, and benchmarks for representation learning of code.

repo with challenge material for riceteacatpanda (2020)

Grokking Deep Reinforcement Learning

Collection of useful data science topics along with code and articles

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

CNN image classifier implemented in Keras Notebook 🖼️.

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

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

Multi-class confusion matrix library in Python

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

🤖 The Cocoa Artificial Intelligence Lab

Mycroft Core, the Mycroft Artificial Intelligence platform.

Time Series Forecasting Best Practices & Examples

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

XAI - An eXplainability toolbox for machine learning

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

My personal notes, presentations, and notebooks on everything Deep Learning.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Deep learning codes and projects using Python

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

Experiment tracking for machine and deep learning projects

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

A high-level machine learning and deep learning library for the PHP language.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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

AI research environment for the Atari 2600 games 🤖.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

💁‍♀️Your new best friend powered by an artificial neural network

Sharing Updatable Models (SUM) on Blockchain

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

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

A curated list of awesome awesomeness about artificial intelligence

LDA topic modeling for node.js

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.

Curso de Data Science em Português

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Support content for my blog

An open-source, low-code machine learning library in Python

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Multiple implementations for abstractive text summurization , using google colab

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

Synthetic Data Generation for tabular, relational and time series data.

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

Grakn Knowledge Graph Library (ML R&D)

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Getting started with AllenNLP and PyTorch by training a tweet classifier

An Open Source, Self-Hosted Platform For Applied Deep Learning Development