Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (-34.68%)
RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (+57.23%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+1824.28%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-16.18%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+128.32%)
Accel Brain CodeThe 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.
Stars: ✭ 166 (-4.05%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+2282.66%)
Pytorch Cpp RlPyTorch C++ Reinforcement Learning
Stars: ✭ 353 (+104.05%)
Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Stars: ✭ 395 (+128.32%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+155.49%)
Cnn lstm ctc ocrTensorflow-based CNN+LSTM trained with CTC-loss for OCR
Stars: ✭ 464 (+168.21%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+2471.1%)
Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Stars: ✭ 512 (+195.95%)
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (+213.87%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+178.61%)
Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
Stars: ✭ 524 (+202.89%)
Trending Deep LearningTop 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Stars: ✭ 543 (+213.87%)
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stars: ✭ 641 (+270.52%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+2300%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (+177.46%)
DrlRepository for codes of 'Deep Reinforcement Learning'
Stars: ✭ 172 (-0.58%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (-5.78%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+3828.32%)
Jsmlt🏭 JavaScript Machine Learning Toolkit
Stars: ✭ 22 (-87.28%)
ChainerrlChainerRL is a deep reinforcement learning library built on top of Chainer.
Stars: ✭ 931 (+438.15%)
Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+408.09%)
Rl algosReinforcement Learning Algorithms
Stars: ✭ 14 (-91.91%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-80.92%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (-4.62%)
Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
Stars: ✭ 1,013 (+485.55%)
Gym ContinuousdoubleauctionA custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Stars: ✭ 50 (-71.1%)
Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
Stars: ✭ 37 (-78.61%)
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-71.68%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-69.36%)
Deep RankingLearning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Stars: ✭ 64 (-63.01%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+99.42%)
MimickCode for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
Stars: ✭ 152 (-12.14%)
Minecraft Reinforcement LearningDeep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Stars: ✭ 33 (-80.92%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-69.94%)
Sign LanguageSign Language Recognition for Deaf People
Stars: ✭ 65 (-62.43%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1169.94%)
Fashion MnistA MNIST-like fashion product database. Benchmark 👇
Stars: ✭ 9,675 (+5492.49%)
Predicting real estate prices using scikit LearnPredicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Stars: ✭ 78 (-54.91%)
Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Stars: ✭ 1,276 (+637.57%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (+660.12%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-45.66%)
SporfThis is the implementation of Sparse Projection Oblique Randomer Forest
Stars: ✭ 70 (-59.54%)
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (-6.94%)