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Machine Learning Toolbox
Authoring Books and Technical Documents with R Markdown
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
10 Weeks, 20 Lessons, Data Science for All!
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Rasterio reads and writes geospatial raster datasets
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep le…
a package to create and plot Voronoi regions within geographic boundaries
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Distributed Asynchronous Hyperparameter Optimization in Python
Hyper-parameter optimization for sklearn
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
My notes / works on deep learning from Coursera
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported …
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A list of datasets for machine learning related tasks
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Docker containers for running training scripts on AzureML
This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Trai…
Log, Track, and Visualize your LLM Prompts and Chains
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.
Examples for https://github.com/optuna/optuna
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!