453 Open source projects that are alternatives of or similar to Torchfold

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

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

Sparse and structured neural attention mechanisms

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.

Archived - not answering issues

Appearance-and-Relation Networks

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

oneAPI Deep Neural Network Library (oneDNN)

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

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

Deep Learning with TensorFlow by Packt

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

Asynchronous Distributed Hyperparameter Optimization.

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。

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

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

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Pytorch implementation for LapSRN (CVPR2017)

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

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Batch normalization fusion for PyTorch

Binary and Categorical Focal loss implementation in Keras.

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

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

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

Various ML/DL Resources organised at a single place.

Arm Machine Learning tutorials and examples

Latex code for making neural networks diagrams

Season 2 of @twosigma's artificial intelligence programming challenge

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).

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

How to use TensorFlow

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

This is Andrew NG Coursera Handwritten Notes.

Learn OpenCV : C++ and Python Examples

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

This is a tutorial for PyTorch Geometric on the YooChoose dataset

List of articles related to deep learning applied to music

CardIO is a library for data science research of heart signals

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

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

Speaker independent emotion recognition

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

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.

Train and visualize Hierarchical Attention Networks

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)

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

Caffe2 implementation of Open Neural Network Exchange (ONNX)

HDLTex: Hierarchical Deep Learning for Text Classification

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

Implementation of character based convolutional neural network

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

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

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

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.

A Simple and easy to use way to Visualise Embeddings!

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