929 Open source projects that are alternatives of or similar to Awesome Gans And Deepfakes

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Action recognition using soft attention based deep recurrent neural networks

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

StarNet

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

https://arxiv.org/abs/1707.00836

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Summaries of machine learning papers

2020-2021年计算机视觉综述论文分方向整理

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Season 2 of @twosigma's artificial intelligence programming challenge

Tools for PyTorch

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

The author's officially unofficial PyTorch BigGAN implementation.

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Sparse and structured neural attention mechanisms

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

The Bukkit/Spigot/Paper API implementation for Fabric

Notes and Summaries on ML-related Research Papers (with optional implementations)

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Train and visualize Hierarchical Attention Networks

A Simple and easy to use way to Visualise Embeddings!

Pytorch implementation for LapSRN (CVPR2017)

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Deep Learning and deep reinforcement learning research papers and some codes

Appearance-and-Relation Networks

Implement of Openpose use Tensorflow

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

To classify video into various classes using keras library with tensorflow as back-end.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Arm Machine Learning tutorials and examples

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Tunable U-Net implementation in PyTorch

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文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Paper is a fast NoSQL-like storage for Java/Kotlin objects on Android with automatic schema migration support.

Numenta published papers code and data

CardIO is a library for data science research of heart signals

A collection of research papers categorized by real-world systems that enact them

HDLTex: Hierarchical Deep Learning for Text Classification

Binary and Categorical Focal loss implementation in Keras.

Learn OpenCV : C++ and Python Examples

This is a list of awesome articles about object detection from video.

Understanding emotions from audio files using neural networks and multiple datasets.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

oneAPI Deep Neural Network Library (oneDNN)

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

OneFlow is a performance-centered and open-source deep learning framework.