Python for data scienceA rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
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MasterA machine learning course using Python, Jupyter Notebooks, and OpenML
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Vit PytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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Scikit Learn VideosJupyter notebooks from the scikit-learn video series
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Ethereum futureThis is the Code for "Ethereum Future Prices" by Siraj Raval on Youtube
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DreampowerDeepNude with DreamNet improvements.
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Nuscenes DevkitDevkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
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EifExtended Isolation Forest for Anomaly Detection
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Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
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Python SeminarPython for Data Science (Seminar Course at UC Berkeley; AY 250)
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Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
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Tf tutorial plusTutorials for TensorFlow APIs the official documentation doesn't cover
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Reinforcement LearningImplementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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Spyder NotebookJupyter notebook integration with Spyder
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BrunelBrunel Visualization
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DinoruntutorialAccompanying code for Paperspace tutorial "Build an AI to play Dino Run"
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Nbsphinx📒 Sphinx source parser for Jupyter notebooks
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CdanCode release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
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Tensorflow TensorrtThis repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
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Gcn clusteringCode for CVPR'19 paper Linkage-based Face Clustering via GCN
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Pyconuk Introtutorialpractical introduction to pandas and scikit-learn via Kaggle problems - Sept 2014
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Pyspark TutorialsCode snippets and tutorials for working with social science data in PySpark
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Scipy 2017 SklearnScipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
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NotebooksAll of our computational notebooks
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Powerai Counting CarsRun a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV
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DabData Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
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Multi Scale AttentionCode for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
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Tensorflow hmmA tensorflow implementation of an HMM layer
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Tehran StocksA python package to access tsetmc data
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PycaretAn open-source, low-code machine learning library in Python
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TdcTherapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
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DltfptDeep Learning with TensorFlow, Keras, and PyTorch
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Ailearning Theory Applying快速上手Ai理论及应用实战:基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT,持续更新中。含大量注释及数据集,力求每一位能看懂并复现。
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Dive Into Dl Tensorflow2.0本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
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Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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ClipContrastive Language-Image Pretraining
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NerfCode release for NeRF (Neural Radiance Fields)
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Tensorflow TutorialExample TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
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