8403 Open source projects that are alternatives of or similar to Mit Deep Learning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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.

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 …

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

Grokking Deep Reinforcement Learning

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

The Go kernel for Jupyter notebooks and nteract.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Curated list of Python resources for data science.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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

Multi-class confusion matrix library in Python

How to use TensorLayer

Cryptocurrency Price Prediction Using LSTM neural network

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Multiple implementations for abstractive text summurization , using google colab

Collection of useful data science topics along with code and articles

An open-source platform for automating tasks using machine learning models

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Efficient Learning of Augmentation Policy Schedules

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.

Deep learning codes and projects using Python

Text Classification through CNN, RNN & HAN using Keras

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

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

Curso de Data Science em Português

📚 [.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

Probabilistic reasoning and statistical analysis in TensorFlow

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Deep Learning Projects that Build Themselves

Deep Learning Computer Vision Algorithms for Real-World Use

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

High-performance Vision library in Python. Scale your research, not boilerplate.

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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

TensorFlow and Deep Learning Tutorials

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)

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

A simple probabilistic programming language.

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

Daily Dose of Neural Network that Everyone Needs

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Create HTML profiling reports from pandas DataFrame objects

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Notebook for my medium article about how to use Dataset API in TensorFlow

Repo for the Deep Reinforcement Learning Nanodegree program

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.