StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
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Ssd keras简明 SSD 目标检测模型 keras version(交通标志识别 训练部分见 dev 分支)
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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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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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Physac2D physics header-only library for videogames developed in C using raylib library.
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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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AsapASAP: Prioritizing Attention via Time Series Smoothing
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Zanzibar Aerial MappingOpen source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning
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Transformers RuA list of pretrained Transformer models for the Russian language.
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NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
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Qml MoocLecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
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Deeplab v2基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
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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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Mine pytorchMINE: Mutual Information Neural Estimation in pytorch (unofficial)
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Machine Learning🌎 machine learning tutorials (mainly in Python3)
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Ml代码记录
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Suite2pcell detection in calcium imaging recordings
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PracticaldlA Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course
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Covid 19 Eda TutorialThis tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.
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Ai MatrixTo make it easy to benchmark AI accelerators
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CpndetCorner Proposal Network for Anchor-free, Two-stage Object Detection
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Godot 2d BuilderA simulation game demo made in Godot and inspired by Factorio.
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BlueskyThe open source air traffic simulator
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KomodoeditKomodo Edit is a fast and free multi-language code editor. Written in JS, Python, C++ and based on the Mozilla platform.
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Amitt frameworkRepo replaced by cogsec-collaborative/AMITT
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Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
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ReferReferring Expression Datasets API
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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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Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
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Simfin TutorialsTutorials for SimFin - Simple financial data for Python
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AlphalensPerformance analysis of predictive (alpha) stock factors
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Assistive GymAssistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
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