6156 Open source projects that are alternatives of or similar to Tf Dann

A collection of AWESOME things about domian adaptation

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

Take further steps in the arms race of adversarial examples with only preprocessing.

A Toolbox for Adversarial Robustness Research

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Boltzmann Machines in TensorFlow with examples

A R/Shiny app for interactive RNN tensorflow models

Awesome Domain Adaptation Python Toolbox

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Attending to Discriminative Certainty for Domain Adaptation

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

A MongoDB GUI with Fluent Design

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Creating fun photomosaics, GIFs, and murals from your family pictures using ML & similarity search

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

This is my repository for Data Structures using Python

Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

An intro to Python & programming for wanna-be data scientists

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Deep NLP Course

Tooling for GANs in TensorFlow

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

felixge's notes on the various go profiling methods that are available.

Hierarchical Attention Networks for Document Classification in PyTorch

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

Some sample IPython notebooks for scikit-learn

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

A PyTorch based library for all things neural differential equations

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

SQL Server Workshops

Notebooks for learning deep learning

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

Digital Signal Processing - Theory and Computational Examples

Deliberate Practice for Learning Python

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

The Python Code Tutorials

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

全栈数据工程师养成攻略

Python exercises to practice skills

Ways of doing Data Science Engineering and Machine Learning in R and Python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

Python library for Multi-Armed Bandits

SpaCy 中文模型 | Models for SpaCy that support Chinese

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Music recommender using deep learning with Keras and TensorFlow