Pymc3 vs pystanPersonal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
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DensecapDense image captioning in Torch
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2048 ApiEducational API for developing ML (imitation learning or reinforcement learning) agents to play game 2048
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IntelaiworkshopDocumentation and sample codes for Intel AI Workshop
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HgnHierarchical Gating Networks for Sequential Recommendation
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Ml ExamplesExamples of machine learning, with an emphasis on deep learning.
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KubeflowdojoRepository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
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Python For Data AnalyticsThis course will teach you only the relevant topics in Python for starting your career in Data Analytics. There are also a bunch of tips and tricks throughout for resume writing, solving case studies, interviews etc. The idea is to help you land a job in analytics and not just teach you Python.
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Credit scoredata from the kaggle 'give me some credit" competition
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ElevationEnd-to-end guide design for CRISPR/Cas9 with machine learning
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Nb pdf templateA more accurate representation of jupyter notebooks when converting to pdfs.
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SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
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Azure WorkshopCollection of resources related to predictive modeling, Azure ML Studio, and the Cortana Intelligence suite.
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Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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Quantecon.notebooksJupyter notebooks contributed by QuantEcon developers, users and the community
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Google Images DatasetThis repository provides the necessary code to create your own Google Images Dataset.
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Reservoir EngineeringPython worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)
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SklearnData & Code associated with my tutorial on the sci-kit learn machine learning library in python
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Silero VadSilero VAD: pre-trained enterprise-grade Voice Activity and Number Detector
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Nvidia Gpu Tensor Core Accelerator Pytorch OpencvA complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
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TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
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MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
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Fcc nn research(somewhat) cleaned-up notebooks used in researching public comments for FCC Proceeding 17-108 (Net Neutrality Repeal)
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Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
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ExperimentsSmall experiments with attached code
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Prisma abu用机器学习做个艺术画家-Prisma
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WorkshopsA few exercises for use at events.
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Deep Learning Language ModelA Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow
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AxAdaptive Experimentation Platform
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Qwiklabslabs guide for completing qwiklabs challenge
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