Gs QuantPython toolkit for quantitative finance
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QuantCodera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
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Fastquantfastquant — Backtest and optimize your trading strategies with only 3 lines of code!
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KalmanSome Python Implementations of the Kalman Filter
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Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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Pycaffe tutorialTutorial for pycaffe, the Python API to the Neural Network framework, Caffe
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Svhnclassifier PytorchA PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
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Jupytext.vimVim plugin for editing Jupyter ipynb files via jupytext
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LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
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GpA tutorial about Gaussian process regression
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Faster Rcnn tensorflowThis is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.
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VtubestudioPlaceholder for VTube Studio
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AnimlReproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
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Torchtext Summarytorchtext使用总结,从零开始逐步实现了torchtext文本预处理过程,包括截断补长,词表构建,使用预训练词向量,构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.
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Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
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SelfconsistencyCode for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
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DlaDeep learning for audio processing
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MainCS579: Online Social Network Analysis at the Illinois Institute of Technology
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Byte Sized CodeA collection of Jupyter notebooks for learning Python from the ground up.
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NotebookCollection of jupyter notebooks for demonstrating software.
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Deep and machine learning projectsThis Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
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Vmls CompanionsThese are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
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DisprcnnCode release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
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