6213 Open source projects that are alternatives of or similar to Understanding_tensorflow_nn

Code, exercises and tutorials of my personal blog ! 📝

code for deep learning courses

The hands-on NLTK tutorial for NLP in Python

🌈 Tutorials for Supervise.ly

All of the code for my Medium articles

Ipython notebooks for math and finance tutorials

Awesome-pytorch-list 翻译工作进行中......

💫 Jupyter notebooks for spaCy examples and tutorials

Tutorials for learning OpenCV in Python from Scratch

Fish detection using Open Images Dataset and Tensorflow Object Detection

🔮 Life is short, you need PyTorch.

Statistical Rethinking (2nd Ed) with Tensorflow Probability

MicaSense RedEdge and Altum image processing tutorials

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Simple tutorials for building neural networks with TensorFlow Eager mode.

Materials for workshops on text mining, machine learning, and data visualization

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Geophysical Tutorials column for 2017

Completed assignments and coding challenges from the Lambda School Data Science program.

Repository to help you get started with computer vision

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

자연어 처리와 관련한 여러 튜토리얼 저장소

Tutorials for Quantum Algorithms with Qiskit implementations.

https://cc-mnnit.github.io/2018-19-Classes/ - 🎒 💻 Material for Computer Club Classes

CatBoost tutorials repository

A day to day plan for this challenge. Covers both theoritical and practical aspects

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

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

The Python Code Tutorials

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Continual Learning tutorials and demo running on Google Colaboratory.

Intro to deep learning for medical imaging lesson, by MD.ai

SuperComputing 2017 Deep Learning Tutorial

A python package that includes many methods for decoding neural activity

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Jupyter notebooks associated with the Algorithms for Optimization textbook

Tutorial on "Modern Optimization Methods in Python"

scikit-learn wrappers for Python fastText.

A framework for blind denoising with self-supervision.

Ray tutorials from Anyscale

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Free opensource Learning Resources related to Web-Development A to Z 🔥❤

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Building QA system for Stanford Question Answering Dataset

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

CARTO Python package for data scientists

Python solutions to solve practical business problems.

Exercises for the Analysis of Knowledge Graphs

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

CNN image style transfer 🎨.

Some code examples gathered during my Month of Julia.

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

exercise for nndl

Simplified implementations of deep learning related works