Popular GitHub Repositories for Lattice Boltzmann

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Boltzmann Machines in TensorFlow with examples

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Always sparse. Never dense. But never say never. A Sparse Training 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).

Restricted Boltzmann Machines (RBMs) in PyTorch

ASR with PyTorch

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Unsupervised learning and generative models in python/pytorch.

3D CNN to predict single-phase flow velocity fields

Implementation of deep implicit attention in PyTorch

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow

Simple code tutorial for deep belief network (DBN)

A Julia package for training and evaluating multimodal deep Boltzmann machines

Codes and Templates from the SuperDataScience Course

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

Learning Multi-Armed Bandits by Examples. Currently covering MAB, UCB, Boltzmann Exploration, Thompson Sampling, Contextual MAB, Deep MAB.