Pinned Repositories
Anti-UAV-work
🔥🔥Official Repository for Anti-UAV🔥🔥
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DistributedEvolutionaryComputation
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.
Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了整理
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
FCMpy
Fuzzy Cognitive Maps for Behavior Change Interventions and Evaluation
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
BigHorse-AI's Repositories
BigHorse-AI/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
BigHorse-AI/DistributedEvolutionaryComputation
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.
BigHorse-AI/FCMpy
Fuzzy Cognitive Maps for Behavior Change Interventions and Evaluation
BigHorse-AI/N-CMAPSS_DL
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
BigHorse-AI/NAS_convELM
Evolutionary optimization of convolutional ELM for remaining useful life prediction
BigHorse-AI/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
BigHorse-AI/scikit-fuzzy
Fuzzy Logic SciKit (Toolkit for SciPy)
BigHorse-AI/Wavelet-HFCM
This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wavelet Transform'
BigHorse-AI/ACC_NAS
Accelerating multi-objective neural architecture search for remaining useful life prediction
BigHorse-AI/AdvTrajectoryPrediction
Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057
BigHorse-AI/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
BigHorse-AI/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
BigHorse-AI/Anti-UAV
Served as a large-scale multi-modal benchmark, Anti-UAV drives the future research on the frontiers of tracking UAVs in the wild. With the above innovations and contributions, we have organized the CVPR 2020 Workshop on the 1st Anti-UAV Challenge. These contributions together significantly benefit the community.
BigHorse-AI/ENAS-PdM
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
BigHorse-AI/evogym
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
BigHorse-AI/evotorch
EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
BigHorse-AI/fcm_classifier_transformer
This repository contains source code to the article: Piotr Szwed: Classification and feature transformation with Fuzzy Cognitive Maps, Applied Soft Computing, Elsevier 2021
BigHorse-AI/hpelm
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
BigHorse-AI/machine-learning-with-python-cookbook-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
BigHorse-AI/MOO_ELM
Multi-Objective Optimization of ELM for RUL Prediction
BigHorse-AI/N-CMAPSS_DL_2
Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset
BigHorse-AI/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
BigHorse-AI/Python-for-Statisticians-and-Economists
Feng Li's Python Course for Statisticians and Economists
BigHorse-AI/pytorch_model
wirte simple models by pytorch,such as lstm/gru/bilstm
BigHorse-AI/RUL_NCMAPSS_VAE
Estimating RUL of a Turbofan engine using Variational Auto Encoder on NCMAPSS dataset
BigHorse-AI/SAE-FCM
The Code of Time series prediction using sparse autoencoder and high-order fuzzy cognitive maps
BigHorse-AI/Time-Series-Library
A Library for Advanced Deep Time Series Models.
BigHorse-AI/TimeSeriesAnalysisWithPython
BigHorse-AI/TL_RUL
Application of Transfer Learning for RUL Prediction
BigHorse-AI/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization