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35 search results found

Leedl Tutorial ⭐ 8,682

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalech

Pytorch Tutorial ⭐ 7,372

Build your neural network easy and fast, 莫烦Python中文教学

Easy Tensorflow ⭐ 2,875

Simple and comprehensive tutorials in TensorFlow

Awesome Deeplearning ⭐ 2,670

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Machine Learning Curriculum ⭐ 1,065

💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

Nlp_overview ⭐ 958

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Qtrader ⭐ 442

Reinforcement Learning for Portfolio Management

Papers For Molecular Design Using Dl ⭐ 367

List of molecular design using Generative AI and Deep Learning

World Models ⭐ 347

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Neural Symbolic Machines ⭐ 346

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Neural Architecture Search ⭐ 312

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

Text_summurization_abstractive_methods ⭐ 310

Multiple implementations for abstractive text summurization , using google colab

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Learning To Communicate Pytorch ⭐ 187

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Torch Ac ⭐ 134

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Partially Observable Process Gym

Chemgan Challenge ⭐ 112

Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Relataly Public Python Tutorials ⭐ 109

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Python Machine Learning Book 3rd Edition ⭐ 93

<머신 러닝 교과서 3판>의 코드 저장소

Machinelearningwithpython ⭐ 79

Get started with Machine Learning with Python - An introduction with Python programming examples

Ai Reading Materials ⭐ 77

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

Recurrent Environment Simulators ⭐ 73

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Experiments with reinforcement learning and recurrent neural networks

Rcnn_mdp ⭐ 59

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

NEAT (NeuroEvolution of Augmenting Topologies) implemented in Go

Ml In Tf ⭐ 45

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

Open_stt_e2e ⭐ 39

PyTorch end-to-end speech recognition

Recurrent Fwp ⭐ 39

Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)

Ram_modified ⭐ 38

"Recurrent Models of Visual Attention" in TensorFlow

Visual Attention Model ⭐ 24

Chainer implementation of Deepmind's Visual Attention Model paper

The Love I Receive From Udacity Reviewer Resources ⭐ 23

To memorize the journey start from self-driving Car Engineer Nanodegree Program to Artificial Intelligence Nanodegree Program to Flying Car Nanodegree Program then Robotics Software Engineer Nanodegree Program and AI for Trading Nanodegree program

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

Vision2022 ⭐ 18

Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club 浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程

Deep Learning Is Awesome ⭐ 17

A curated list of deep learning tutorials, projects and other resources

SANNet Neural Network Framework

Great Deep Learning Books ⭐ 16

A Great Collection of Deep Learning (e)Books

G-HER algorithm

Deep Blueberry ⭐ 14

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

There are few caveats when you want to use a Recurrent Neural Network (RNN) policy with Policy Gradient Algorithms. This repository explains them and provide a solution for them. Please see the blog for more details.

Auto Dl.github.io ⭐ 13

Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.

Visualdialog Pytorch ⭐ 13

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

Control Notes ⭐ 12

Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning

Dl Illustrated ⭐ 12

<딥러닝 일러스트레이티드>(시그마프레스, 2021)의 코드 저장소

Ws 18 19 Deep Learning Tutorial ⭐ 12

Deep Learning and Artificial Intelligence Tutorial @ LMU WS 2018/19

Neural_optimizer_search ⭐ 9

An implementation of ICML 2017 paper <<Neural Optimizer Search with Reinforcement Learning>> https://arxiv.org/abs/1709.07417

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Trading Rrl ⭐ 8

Automated FOREX trading using recurrent reinforcement learning

Automakehuman ⭐ 8

MakeHuman's plugin for auto create human models

Inverse Reinforcement Learning-based Structural Evolution of Small Molecules

Stockprediction ⭐ 7

Stock Prediction by Reinforcement Learning and RNN

Learning Temporal Point Processes Via Reinforcement Learning ⭐ 6

PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.

PyTorch implementation of the Discrete Soft Actor-Critic algorithm with RNN policy

SIGAI@UCF lectures/workshops, categorized by semester. (For spring 2018, will be archived soon.)

Deepvectorpolicyfields ⭐ 5

Codebase for learning Vector Policy Fields using Reinforcement Learning Networks.

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