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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A High-Quality Real Time Upscaler for Anime Video
Python Machine Learning Book
The "Python Machine Learning (1st edition)" book code repository and info resource
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
Build your neural network easy and fast, 莫烦Python中文教学
Pytorch Deep Learning
Deep Learning (with PyTorch)
Code for Tensorflow Machine Learning Cookbook
Tensorflow 2.x Tutorials
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。
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanod
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Deep Reinforcement Learning
Repo for the Deep Reinforcement Learning Nanodegree program
Graph Based Deep Learning Literature
links to conference publications in graph-based deep learning
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Probabilistic reasoning and statistical analysis in TensorFlow
Repo for the Deep Learning Nanodegree Foundations program.
Plain python implementations of basic machine learning algorithms
[ICCV 2019] Monocular depth estimation from a single image
Alpha Zero General
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Lstm Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
YoloV3 Implemented in Tensorflow 2.0
Deepnlp Models Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A clear, concise, simple yet powerful and efficient API for deep learning.
Tensorflow Without A Phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
Fast and Easy Infinite Neural Networks in Python
Computer Vision In Action
学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-actio 👇项目主页
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 cat
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Machine Learning Book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Tutorials and implementations for "Self-normalizing networks"
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Awesome Pytorch List Cnversion
Training PyTorch models with differential privacy
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Coursera Deep Learning Specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
Koç University deep learning framework.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Awesome Ai Ml Dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Machine Learning Specialization Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Neural Networks Demystified
Supporting code for short YouTube series Neural Networks Demystified.
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Info8010 Deep Learning
Lectures for INFO8010 - Deep Learning, ULiège
One Pixel Attack Keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Seq2seq Signal Prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Tensorflow Programs And Tutorials
Implementations of CNNs, RNNs, GANs, etc
Deep Learning In Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Computations and statistics on manifolds with geometric structures.
Code for the Lovász-Softmax loss (CVPR 2018)
TensorFlow 101: Introduction to Deep Learning
Andrew Ng Deep Learning Notes
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Support content for my blog
Metric depth estimation from a single image
A simple probabilistic programming language.
Facial Similarity With Siamese Networks In Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
Deep Learning Resources
由淺入深的深度學習資源 Collection of deep learning materials for everyone
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Deeplearning.ai Natural Language Processing Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Bayesian Analysis Recipes
A collection of Bayesian data analysis recipes using PyMC3
Some work of Andrew Ng's course on Coursera
Tensorflow Eager Tutorials
Simple tutorials for building neural networks with TensorFlow Eager mode.
Multilabel Timeseries Classification With Lstm
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
A curated list of Best Artificial Intelligence Resources
Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
Urban Sound Classification
Urban sound classification using Deep Learning
Cn Deep Learning
Grokking Deep Reinforcement Learning
Awesome Artificial Intelligence Projects
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Neural Turing Machines (NTM) - PyTorch Implementation
Tf 2.0 Hacks
Contains my explorations of TensorFlow 2.x
A Software Framework for Neuromorphic Computing
Stat453 Deep Learning Ss20
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Stat479 Deep Learning Ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
Human Activity Recognition Using Cnn
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Python Jupyter Notebook (12,976)
Jupyter Notebook Machine Learning (8,463)
Python Neural Network (7,064)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Deep Learning (6,566)
Jupyter Notebook Tensorflow (4,771)
Jupyter Notebook Pytorch (4,555)
Jupyter Notebook Deep (4,113)
Jupyter Notebook Neural (3,939)
Jupyter Notebook Classification (3,847)
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