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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Prompt Engineering Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The fastai deep learning library
100 Days Of Ml Code
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Learn OpenCV : C++ and Python Examples
The fastai book, published as Jupyter Notebooks
Deep Learning With Python Notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Best Practices on Recommendation Systems
Screenshot To Code
A neural network that transforms a design mock-up into a static website.
Dive Into Dl Pytorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
First Order Model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Deep Learning With Tensorflow Book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Stable Diffusion Webui Colab
stable diffusion webui colab
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Create HTML profiling reports from pandas DataFrame objects
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Numerical Linear Algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Best Practices, code samples, and documentation for Computer Vision.
data science on data without acquiring a copy
TensorFlow Tutorials with YouTube Videos
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Machine Learning Notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Machine Learning For Trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Grokking Deep Learning
this repository accompanies the book "Grokking Deep Learning"
Pytorch Deep Learning
Deep Learning (with PyTorch)
Setup and customize deep learning environment in seconds.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stock Prediction Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Python Machine Learning Book 2nd Edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
A collection of pre-trained, state-of-the-art models in the ONNX format
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
From the basics to slightly more interesting applications of Tensorflow
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。
A course in reinforcement learning in the wild
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Deep Learning Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS
An open source implementation of CLIP.
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
Machine Learning Mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Fast, distributed, secure AI for Big Data
Graph Based Deep Learning Literature
links to conference publications in graph-based deep learning
Pytorch Deep Learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Single Shot MultiBox Detector in TensorFlow
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
unet for image segmentation
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Tensorflow Deep Learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
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
Python Machine Learning Book 3rd Edition
The "Python Machine Learning (3rd edition)" book code repository
Repo for the Deep Learning Nanodegree Foundations program.
Curated list of Python resources for data science.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Dive Into Dl Tensorflow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
[ICCV 2019] Monocular depth estimation from a single image
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Deep Learning From Scratch
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
A Deep Learning based project for creating line art portraits.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Fast and flexible AutoML with learning guarantees.
Deep Text Recognition Benchmark
Text recognition (optical character recognition) with deep learning methods.
Alpha Zero General
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Deep Rl Class
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Covid Chestxray Dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
🔥 Machine Learning Notebooks
🛠 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
Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Bayesian optimization in PyTorch
Learning to Rank in TensorFlow
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Web Stable Diffusion
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
God Level Data Science Ml Full Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Time Series Forecasting Best Practices & Examples
Mxnet The Straight Dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
YoloV3 Implemented in Tensorflow 2.0
Python Deep Learning (13,092)
Python Jupyter Notebook (12,976)
Jupyter Notebook Machine Learning (8,463)
Machine Learning Deep Learning (7,539)
Jupyter Notebook Dataset (6,824)
Deep Learning Pytorch (4,652)
Deep Learning Tensorflow (4,441)
Deep Learning Neural Network (4,072)
Deep Learning Convolutional Neural Networks (4,021)
Deep Learning Computer Vision (3,957)
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