Awesome Open Source
Search results for jupyter notebook tensorflow
3,535 search results found
Models and examples built with TensorFlow
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
100 Days Of Ml Code
A collection of various deep learning architectures, models, and tips
Machine Learning Toolkit for Kubernetes
Natural Language Processing Tutorial for Deep Learning Researchers
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.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
深度学习入门教程, 优秀文章, Deep Learning Tutorial
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Setup and customize deep learning environment in seconds.
Code for Tensorflow Machine Learning Cookbook
Python Machine Learning Book 2nd Edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
Swift for TensorFlow
Simple tutorials using Google's TensorFlow Framework
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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。
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
A course in reinforcement learning in the wild
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
TensorFlow Basic Tutorial Labs
A collection of infrastructure and tools for research in neural network interpretability.
Fast, distributed, secure AI for Big Data
Single Shot MultiBox Detector in TensorFlow
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.
Probabilistic reasoning and statistical analysis in TensorFlow
Python Machine Learning Book 3rd Edition
The "Python Machine Learning (3rd edition)" book code repository
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Fast and flexible AutoML with learning guarantees.
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
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Learning to Rank in TensorFlow
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Project containig related material for my TensorFlow articles
Resource scheduling and cluster management for AI
YoloV3 Implemented in Tensorflow 2.0
Tensorflow Without A Phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
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)
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Learn Machine Learning In Two Months
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Deep Learning Time Series
List of papers, code and experiments using deep learning for time series forecasting
MTCNN face detection implementation for TensorFlow, as a PIP package.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
🙄 Difficult algorithm, Simple code.
The Python Code Tutorials
Chess Alpha Zero
Chess reinforcement learning by AlphaGo Zero methods.
Demo of running NNs across different frameworks
Discovering Interpretable GAN Controls [NeurIPS 2020]
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Top Deep Learning
Top 200 deep learning Github repositories sorted by the number of stars.
Kaggle Web Traffic
1st place solution
Face Mask Detection
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Tensorflow Lite Object Detection On Android And Raspberry Pi
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Machine Learning Experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Dl Colab Notebooks
Try out deep learning models online on Google Colab
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
The deeplearning algorithms implemented by tensorflow
Model analysis tools for TensorFlow
Hands On Machine Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
🏖 Keras Implementation of Painting outside the box
One Pixel Attack Keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
A mindmap summarising Deep Learning concepts.
Tensorflow Tutorials For Time Series
TensorFlow Tutorial for Time Series Prediction
Seq2seq Signal Prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Machine learning algorithms implemented by pure numpy
Tensorflow Seq2seq Tutorials
Dynamic seq2seq in TensorFlow, step by step
Synthetic data generators for tabular and time-series data
"Neural Turing Machine" in Tensorflow
Python Tensorflow (13,736)
Python Jupyter Notebook (12,976)
Jupyter Notebook Machine Learning (8,463)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Deep Learning (6,566)
Deep Learning Tensorflow (4,441)
Jupyter Notebook Convolutional Neural Networks (3,938)
Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,877)
Jupyter Notebook Classification (3,847)
1-100 of 3,535 search results
Follow Us On Twitter
Copyright 2018-2023 Awesome Open Source. All rights reserved.