unslothai / hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
☆2,003Updated 3 months ago
Alternatives and similar repositories for hyperlearn:
Users that are interested in hyperlearn are comparing it to the libraries listed below
- A Python toolbox for performing gradient-free optimization☆4,002Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆5,965Updated 2 weeks ago
- Accelerated deep learning R&D☆3,325Updated 11 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,586Updated this week
- A collection of infrastructure and tools for research in neural network interpretability.☆4,691Updated 2 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆704Updated 4 years ago
- Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyda…☆1,357Updated last year
- HiPlot makes understanding high dimensional data easy☆2,777Updated last year
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,388Updated last month
- torch-optimizer -- collection of optimizers for Pytorch☆3,082Updated 10 months ago
- Version control for machine learning☆1,658Updated last week
- Fast and flexible AutoML with learning guarantees.☆3,465Updated last year
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 2 years ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,433Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,763Updated 2 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,628Updated 9 months ago
- PyTorch tutorials and best practices.☆1,675Updated 2 years ago
- Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.☆5,355Updated this week
- The Hitchiker's Guide to PyTorch☆1,197Updated 3 years ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,281Updated 2 months ago
- torchbearer: A model fitting library for PyTorch☆638Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,715Updated 2 weeks ago
- A few notebooks about deep learning in pytorch☆579Updated 5 years ago
- cuML - RAPIDS Machine Learning Library☆4,406Updated this week
- A graph-based functional API for building complex scikit-learn pipelines.☆591Updated 2 years ago
- Bayesian optimization in PyTorch☆3,176Updated this week
- A system for quickly generating training data with weak supervision☆5,831Updated 9 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,396Updated this week
- A simplified framework and utilities for PyTorch☆571Updated 2 months ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 5 years ago