7574 Open source projects that are alternatives of or similar to Machine Learning Notebooks

Machine learning, in numpy

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

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Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Русскоязычный чатбот

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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The repository provides usefull python scripts for ML and data analysis

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🙄 Difficult algorithm, Simple code.

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Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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A collection of deep learning models implemented in PyTorch

The "Python Machine Learning (1st edition)" book code repository and info resource

machine learning and deep learning tutorials, articles and other resources

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🛠 All-in-one web-based IDE specialized for machine learning and data science.

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Chess reinforcement learning by AlphaGo Zero methods.

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

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

A high performance implementation of HDBSCAN clustering.

Important paper implementations for Question Answering using PyTorch

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

🤖 Implements of Reinforcement Learning algorithms.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

A repo for data science related questions and answers

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

How to build RNNs and LSTMs from scratch with NumPy.

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

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A journey into Convolutional Neural Network visualization

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Collection of stats, modeling, and data science tools in Python and R.

Log Anomaly Detection - Machine learning to detect abnormal events logs

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🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

A news recommendation system tailored for user communities

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This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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Anomaly detection for temporal data using LSTMs

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 sklearn wrapper for Google's BERT model