Deeplearning keras2Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.
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Nlp adversarial examplesImplementation code for the paper "Generating Natural Language Adversarial Examples"
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ParcelsMain code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)
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IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
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Fifa 2018 World Cup PredictionsI used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.
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Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And GanProject analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
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Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
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Covid 19 Data ScienceWelcome to Glacier Data Project. A post-wuhan2020 project for data science
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Fast Neural StylePytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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Ml Mooc NptelThis repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
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Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
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DeeplearningbookRepositório do Deep Learning Book - www.deeplearningbook.com.br
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SlayerpytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
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Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
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Ml From ScratchAll the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
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Transformers RuA list of pretrained Transformer models for the Russian language.
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Rl Stock📈 如何用深度强化学习自动炒股
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AsapASAP: Prioritizing Attention via Time Series Smoothing
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Book nbsNotebooks for upcoming fastai book (draft / incomplete)
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Homework fall2020Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
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Math With PythonVarious math-related things in Python code
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StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
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Learning by associationThis repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
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Stanford Cs229Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
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Face DepixelizerFace Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
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PyrevolutionPython tutorials and puzzles to share with the world!
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Computer visionC/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition
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Ml代码记录
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Amitt frameworkRepo replaced by cogsec-collaborative/AMITT
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Nbviewernbconvert as a web service: Render Jupyter Notebooks as static web pages
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Ai MatrixTo make it easy to benchmark AI accelerators
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NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
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Mine pytorchMINE: Mutual Information Neural Estimation in pytorch (unofficial)
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Simfin TutorialsTutorials for SimFin - Simple financial data for Python
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
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