2322 Open source projects that are alternatives of or similar to Numpy Ml

My Attempt(s) In The World Of ML/DL....

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

Train an RL agent to localize actively (PyTorch)

A Latent Dirichlet Allocation implementation in Python.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Sarcasm Detection for Sentiment Analysis

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Samples for TensorFlow binding for .NET by Lost Tech

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

🥕 Evolutionary Neural Networks in JavaScript

music generation with a classifying variational autoencoder (VAE) and LSTM

RLgraph: Modular computation graphs for deep reinforcement learning

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Grokking Deep Reinforcement Learning

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

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.

Collection of generative models in Tensorflow

Repo for the Deep Reinforcement Learning Nanodegree program

A collection of Bayesian data analysis recipes using PyMC3

Keras tutorial for beginners (using TF backend)

A neural network for end-to-end speech denoising

document classification using LSTM + self attention

Deep Reinforcement Learning for Keras.

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Bangla Machine Translator

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

Multiple implementations for abstractive text summurization , using google colab

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Sorting numbers with pointer networks

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Deep Learning over PyTorch

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Machine learning and data science blog.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Safe reinforcement learning with stability guarantees

Scalable Implementation of Deep CFR and Single Deep CFR

How to use TensorLayer

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Some of the ML and DL related reading materials, research papers that I've read