6583 Open source projects that are alternatives of or similar to Hamiltonian Nn

Data and code behind the articles and graphics at FiveThirtyEight

Starter files for Pluralsight course: Understanding Machine Learning with Python

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

LSTMS for Predictive Maintenance

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Code and examples for JHU Computational Genomics class

Wi-Fi Geolocation Spoofing with the ESP8266

NeMo: a toolkit for conversational AI

Convert human motion from video to .bvh

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Official Repo for Google Cloud AI Platform

General Assembly's Data Science course in Washington, DC

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Python version of Quantiacs toolbox and sample trading strategies

VQVAEs, GumbelSoftmaxes and friends

Full Stack Data Science in Python

Self hosted alternative to Google Photos

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Deep Learning examples with Keras.

Natural Language Processing with TensorFlow, published by Packt

Detect text in natural images with SSD, Single Shot Detection

主要存储Datawhale组队学习中“推荐系统”方向的资料。

Experimental algorithms. Unsupported.

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

Implementing of the "A Neural Algorithm of Artistic Style"

Tensorflow notes

Deep Learning / NLP tutorial for Chatbot Developers

A web frontend for scheduling Jupyter notebook reports

Example Machine Learning Scripts for Numerai's Tournament

虾神的Python示例代码库

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

[tutorial]A functional, Data Science focused introduction to Python

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

fastai V2 implementation of Timeseries classification papers.

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

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Tools for using a variational auto-encoder for latent image encoding and generation.

Transfer learning for music classification and regression tasks

Quantitative finance research tools in Python

Pytorch implementation of set transformer

Bonus materials, exercises, and example projects for our Python tutorials

A collection of some of the neat math and physics tricks that I've collected over the last few years.

Deep learning based speech source separation using Pytorch

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Unsupervised clustering with (Gaussian mixture) VAEs

Analysis scripts of things related to satellites

a toolkit for working with Oxford nanopore data

Oxford Deep NLP 2017 course - Practical 1: word2vec

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

Accelerated deep learning R&D

PyTorch Implementation of Deformable Convolution

Visualisation tool for CNNs in pytorch

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

18.335 - Introduction to Numerical Methods course