Rl QuadcopterTeach a Quadcopter How to Fly!
Stars: ✭ 124 (-95.92%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (-72.8%)
LivechartAndroid library to draw beautiful and rich line charts.
Stars: ✭ 78 (-97.43%)
Tensorflow NlpNLP and Text Generation Experiments in TensorFlow 2.x / 1.x
Stars: ✭ 1,487 (-51.04%)
Depth Hints[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
Stars: ✭ 134 (-95.59%)
ReadataPython数据分析实战项目汇总~
Stars: ✭ 134 (-95.59%)
Bcs workshop apr 20Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
Stars: ✭ 134 (-95.59%)
Policy GradientMinimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
Stars: ✭ 135 (-95.55%)
FastdocCreate publication-quality books from Jupyter notebooks
Stars: ✭ 134 (-95.59%)
ImageaugmentationImage augmentation for randomly rotating, shearing, translating and changing lighting conditions.
Stars: ✭ 138 (-95.46%)
Easy slam tutorial首个中文的简单从零开始实现视觉SLAM理论与实践教程,使用Python实现。包括:ORB特征点提取,对极几何,视觉里程计后端优化,实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客
Stars: ✭ 137 (-95.49%)
Csv2ofxA Python library and command line tool for converting csv to ofx and qif files
Stars: ✭ 133 (-95.62%)
Streaming DemosDemos of Plotly's Real-time Streaming API
Stars: ✭ 133 (-95.62%)
Data XThis repository is for the Data-X project materials
Stars: ✭ 136 (-95.52%)
Poppy Ergo Jr🤖 Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.
Stars: ✭ 133 (-95.62%)
Cnn Audio DenoiserTensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement
Stars: ✭ 138 (-95.46%)
Hierarchical RnnTensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
Stars: ✭ 136 (-95.52%)
DataminingnotebooksThis is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
Stars: ✭ 133 (-95.62%)
Laplacians.jlAlgorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
Stars: ✭ 132 (-95.65%)
RUsing R with Jupyter / RStudio on Binder
Stars: ✭ 136 (-95.52%)
Clockwork FcnClockwork Convnets for Video Semantic Segmenation
Stars: ✭ 133 (-95.62%)
PytorchvizA small package to create visualizations of PyTorch execution graphs
Stars: ✭ 2,054 (-32.37%)
Deep ListeningDeep Learning experiments for audio classification
Stars: ✭ 133 (-95.62%)
DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Stars: ✭ 1,744 (-42.57%)
GlassesHigh-quality Neural Networks for Computer Vision 😎
Stars: ✭ 138 (-95.46%)
MathstatscodeCodes for my mathematical statistics course
Stars: ✭ 133 (-95.62%)
Deep SteganographyHiding Images within other images using Deep Learning
Stars: ✭ 136 (-95.52%)
Ml ClassMachine learning lessons and teaching projects designed for engineers
Stars: ✭ 1,743 (-42.61%)
SaxpySymbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
Stars: ✭ 133 (-95.62%)
Openff ToolkitThe Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
Stars: ✭ 138 (-95.46%)
Fetching Financial DataFetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.
Stars: ✭ 137 (-95.49%)
Repo 2019BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
Stars: ✭ 133 (-95.62%)
Automatedstocktrading Deepq LearningEvery day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Stars: ✭ 133 (-95.62%)
One Network Many UsesFour-in-one deep network: image search, image captioning, similar words and similar images using a single model
Stars: ✭ 133 (-95.62%)
Copy Paste AugCopy-paste augmentation for segmentation and detection tasks
Stars: ✭ 132 (-95.65%)
SiteCourse materials for the Automating GIS processes -course, University of Helsinki, Finland
Stars: ✭ 136 (-95.52%)
Ghost Free Shadow Removal[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Stars: ✭ 133 (-95.62%)