ImagenetPytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Stars: ✭ 134 (-18.29%)
MlMachine Learning Projects and Learning Content
Stars: ✭ 134 (-18.29%)
CopulasA library to model multivariate data using copulas.
Stars: ✭ 149 (-9.15%)
Symplectic Gradient AdjustmentA colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
Stars: ✭ 148 (-9.76%)
Python tipsSome Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl
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Numscanumsca is numpy for scala
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Code With AiInterface for people to use my model which predicts which techniques one should use to solve a competitive programming problem to get an AC
Stars: ✭ 134 (-18.29%)
Mxnet.sharp.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Stars: ✭ 134 (-18.29%)
ReadataPython数据分析实战项目汇总~
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Deeplearning ImageIntroduction to Deep Learning for Image Recognition
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Shotcode released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
Stars: ✭ 134 (-18.29%)
Nlp With PythonScikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Stars: ✭ 2,197 (+1239.63%)
Streaming DemosDemos of Plotly's Real-time Streaming API
Stars: ✭ 133 (-18.9%)
PytorchmedicalaiThis is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.
Stars: ✭ 155 (-5.49%)
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 (-18.9%)
Laplacians.jlAlgorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
Stars: ✭ 132 (-19.51%)
Clockwork FcnClockwork Convnets for Video Semantic Segmenation
Stars: ✭ 133 (-18.9%)
Your First Kaggle SubmissionHow to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
Stars: ✭ 155 (-5.49%)
Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
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MathstatscodeCodes for my mathematical statistics course
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SaxpySymbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
Stars: ✭ 133 (-18.9%)
Python4dsJupyter Notebooks used on my DataScience projects
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Mk TfjsPlay MK.js with TensorFlow.js
Stars: ✭ 133 (-18.9%)
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 (-18.9%)
Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
Stars: ✭ 147 (-10.37%)
Episodic CuriosityTensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
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Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
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Hep mlMachine Learning for High Energy Physics.
Stars: ✭ 133 (-18.9%)
DeepreinforcementlearningA replica of the AlphaZero methodology for deep reinforcement learning in Python
Stars: ✭ 1,898 (+1057.32%)
Ml riskmanagementShort Course - Applied Machine Learning for Risk Management
Stars: ✭ 132 (-19.51%)
Testbook🧪 📗 Unit test your Jupyter Notebooks the right way
Stars: ✭ 146 (-10.98%)
Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Stars: ✭ 132 (-19.51%)
Sas kernelA Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
Stars: ✭ 162 (-1.22%)
Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Stars: ✭ 132 (-19.51%)
Alexnetimplement AlexNet with C / convolutional nerual network / machine learning / computer vision
Stars: ✭ 147 (-10.37%)
RwetNotebooks and other materials for Reading and Writing Electronic Text
Stars: ✭ 132 (-19.51%)
BinderhubRun your code in the cloud, with technology so advanced, it feels like magic!
Stars: ✭ 2,050 (+1150%)
ImageprocessingMicaSense RedEdge and Altum image processing tutorials
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Ml代码记录
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Tfclassify UnityAn example of using Tensorflow with Unity for image classification and object detection.
Stars: ✭ 140 (-14.63%)
Machine Learning机器学习&深度学习资料笔记&基本算法实现&资源整理(ML / CV / NLP / DM...)
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