Introduction To Data Science In PythonThis repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
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AudiosignalprocessingformlCode and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
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PyrevolutionPython tutorials and puzzles to share with the world!
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Bigdl TutorialsStep-by-step Deep Leaning Tutorials on Apache Spark using BigDL
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Nbviewernbconvert as a web service: Render Jupyter Notebooks as static web pages
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Rl Stock📈 如何用深度强化学习自动炒股
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InfiniteboostInfiniteBoost: building infinite ensembles with gradient descent
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AsapASAP: Prioritizing Attention via Time Series Smoothing
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Awesome JupyterA curated list of awesome Jupyter projects, libraries and resources
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ColabContinual Learning tutorials and demo running on Google Colaboratory.
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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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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Ml代码记录
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Deep Reinforcement Learning Algorithms31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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Retina VesselnetA Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2
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Ai MatrixTo make it easy to benchmark AI accelerators
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ProjectsTLM Monthly Projects. Join our slack to work on them.
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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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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Trajectron Plus PlusCode accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
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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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Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
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Pygeo TutorialTutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
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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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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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PapergraphAI/ML citation graph with postgres + graphql
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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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Fsi SamplesA collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
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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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NotebooksJupyter Notebooks with Deep Learning Tutorials
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Zerocostdl4micZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
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Motion SenseMotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
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Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
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NbinteractCreate interactive webpages from Jupyter Notebooks
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VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
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Dgc NetA PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
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Stata kernelA Jupyter kernel for Stata. Works with Windows, macOS, and Linux.
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