968 Open source projects that are alternatives of or similar to Appnp

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

HDLTex: Hierarchical Deep Learning for Text Classification

Tunable U-Net implementation in PyTorch

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

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.

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

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

paper summary of Association for Computational Linguistics

[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

Various ML/DL Resources organised at a single place.

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

Organize world's knowledge, explore connections and curate learning paths

Hierarchical Attention Networks for Chinese Sentiment Classification

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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。

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

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).

Learn OpenCV : C++ and Python Examples

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

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

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

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

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

Tools for PyTorch

InfiniteBoost: building infinite ensembles with gradient descent

Implementation of character based convolutional neural network

☕️🏗⛅️🎓 A modern, full-featured, easier-to-use, highly extensible, faster and more accurate Java 8+ Framework for Cloud Computing Simulation

PyTorch implementation of Super SloMo by Jiang et al.

A repository of state-of-the-art deep learning methods in computer vision

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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

Julia Implementation of Transformer models

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

Graphical experiment builder for the social sciences

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Attention-based multimodal fusion for sentiment analysis

Appearance-and-Relation Networks

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

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

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Code for our paper "Hamiltonian Neural Networks"

Awesome Research Papers

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Private messaging system that hides metadata

Archived - not answering issues

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Batch normalization fusion for PyTorch

A curated list of GAN & Deepfake papers and repositories.

Testbed for deep reinforcement learning

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Lingvo

LCNN: End-to-End Wireframe Parsing

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥