874 Open source projects that are alternatives of or similar to Super Slomo

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Train and visualize Hierarchical Attention Networks

CNN image style transfer 🎨.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.

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

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

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

Tools for PyTorch

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

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

Various ML/DL Resources organised at a single place.

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

Toolkit to Hack Your Deep Learning Models

A curated list of GAN & Deepfake papers and repositories.

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

A High-Quality Real Time Upscaler for Anime Video

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。

Latex code for making neural networks diagrams

Asynchronous Distributed Hyperparameter Optimization.

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

Learn OpenCV : C++ and Python Examples

A deep learning framework for molecular docking

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

oneAPI Deep Neural Network Library (oneDNN)

papers on scalable and efficient machine learning systems

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Minimalist implementation of VQ-VAE in Pytorch

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

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

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Distributed Keras Engine, Make Keras faster with only one line of code.

Naszilla is a Python library for neural architecture search (NAS)

How to use TensorFlow

CardIO is a library for data science research of heart signals

Implementation of character based convolutional neural network

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

This is Andrew NG Coursera Handwritten Notes.

Neural networks toolbox focused on medical image analysis

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

TensorFlow Tutorials

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Tunable U-Net implementation in PyTorch

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

A Simple and easy to use way to Visualise Embeddings!

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

List of articles related to deep learning applied to music

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

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

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

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