518 Open source projects that are alternatives of or similar to Da Rnn

Code for "A-NICE-MC: Adversarial Training for MCMC"

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

A python library for easy manipulation and forecasting of time series.

Deep learning for forecasting company fundamental data

Next RecSys Library

Scalable Implementation of Deep CFR and Single Deep CFR

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

SAFE: Self-Attentive Function Embeddings for binary similarity

DeepFaceLab is the leading software for creating deepfakes.

a toolkit for pose estimation using deep learning

Support content for my blog

A general, modular, and programmable architecture search framework

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Deepfakes Software For All

A flexible framework of neural networks for deep learning

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

An evolving guide to learning Deep Learning effectively.

Machine learning, in numpy

(Linear-chain) Conditional random field in PyTorch.

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Kaggle | Web Traffic Forecasting 📈

Русскоязычный чатбот

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

18.S096 - Applications of Scientific Machine Learning

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Visualization toolkit for neural networks in PyTorch! Demo -->

Programs for stock prediction and evaluation

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Build Graph Nets in Tensorflow

Aspect Based Sentiment Analysis using End-to-End Memory Networks

Enhance your application with the ability to see and interact with humans using any RGB camera.

Monthly Series - Top 10 Machine Learning Articles

An open source library for Fuzzy Time Series in Python

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Datasets, tools, and benchmarks for representation learning of code.

Message Passing Neural Networks for Molecule Property Prediction

Applying Data Science and Machine Learning to Solve Real World Business Problems

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

A collection of Bayesian data analysis recipes using PyMC3

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Modeltime unlocks time series forecast models and machine learning in one framework

Sarcasm detection on tweets using neural network

a delightful machine learning tool that allows you to train, test, and use models without writing code

A utility library around PyTorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

RadIO is a library for data science research of computed tomography imaging

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Tools and libraries to run neural networks in Minecraft ⛏

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