Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-2.74%)
Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Stars: ✭ 213 (-2.74%)
Malware DetectionMalware Detection and Classification Using Machine Learning
Stars: ✭ 217 (-0.91%)
TutmomTutorial on "Modern Optimization Methods in Python"
Stars: ✭ 214 (-2.28%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (-0.91%)
Neural decodingA python package that includes many methods for decoding neural activity
Stars: ✭ 212 (-3.2%)
HyperspectralDeep Learning for Land-cover Classification in Hyperspectral Images.
Stars: ✭ 215 (-1.83%)
Drn cvpr2020Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
Stars: ✭ 212 (-3.2%)
Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Stars: ✭ 214 (-2.28%)
Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
Stars: ✭ 218 (-0.46%)
PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Stars: ✭ 213 (-2.74%)
PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Stars: ✭ 213 (-2.74%)
Kitti DatasetVisualising LIDAR data from KITTI dataset.
Stars: ✭ 217 (-0.91%)
Tensorflow Without A PhdA crash course in six episodes for software developers who want to become machine learning practitioners.
Stars: ✭ 2,488 (+1036.07%)
TensorflowDeep Learning Zero to All - Tensorflow
Stars: ✭ 216 (-1.37%)
TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Stars: ✭ 212 (-3.2%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-0.46%)
Text ClassificationText Classification through CNN, RNN & HAN using Keras
Stars: ✭ 216 (-1.37%)
TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
Stars: ✭ 215 (-1.83%)
Best Of Jupyter🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Stars: ✭ 200 (-8.68%)
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (-0.91%)
Python lectures파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.
Stars: ✭ 214 (-2.28%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (-0.91%)
Stereo TransformerOfficial Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
Stars: ✭ 211 (-3.65%)
How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
Stars: ✭ 218 (-0.46%)
CardioCardIO is a library for data science research of heart signals
Stars: ✭ 218 (-0.46%)
Dianjing点睛 - 头条号文章标题生成工具 (Dianjing, AI to write Title for Articles)
Stars: ✭ 214 (-2.28%)
Python SonicProgramming Music with Python, Sonic Pi and Supercollider
Stars: ✭ 217 (-0.91%)
Bitcoin predictionThis is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Stars: ✭ 214 (-2.28%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+0.46%)
Stock market predictionThis is the code for "Stock Market Prediction" by Siraj Raval on Youtube
Stars: ✭ 217 (-0.91%)
Skiftscikit-learn wrappers for Python fastText.
Stars: ✭ 213 (-2.74%)
SquadBuilding QA system for Stanford Question Answering Dataset
Stars: ✭ 213 (-2.74%)
WeightwatcherThe WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Stars: ✭ 213 (-2.74%)
Godot oculus quest toolkitAn easy to use VR toolkit for Oculus Quest development using the Godot game engine
Stars: ✭ 207 (-5.48%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-6.85%)
Rl Adventure 2PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Stars: ✭ 2,633 (+1102.28%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-0.46%)
Hacktoberfest2020A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.
Stars: ✭ 221 (+0.91%)
NotebookerProductionise your Jupyter Notebooks as easily as you wrote them.
Stars: ✭ 215 (-1.83%)