The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
☆1,778Oct 26, 2026Updated this week
Alternatives and similar repositories for WeightWatcher
Users that are interested in WeightWatcher are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data …☆11,725Jan 13, 2026Updated 9 months ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆4,067Dec 28, 2025Updated 10 months ago
- Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.☆6,292Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,626Aug 26, 2026Updated 2 months ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆491Jul 1, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Supercharge Your Model Training☆5,508Apr 29, 2026Updated 6 months ago
- Model interpretability and understanding for PyTorch☆5,717Oct 18, 2026Updated last week
- just a bunch of useful embeddings for scikit-learn pipelines☆530Sep 14, 2026Updated last month
- Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the…☆2,104Aug 15, 2024Updated 2 years ago
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,416Aug 30, 2023Updated 3 years ago
- Doubt your data, find bad labels.☆514Jul 15, 2024Updated 2 years ago
- 🌊 Online machine learning in Python☆6,137Updated this week
- nannyml: post-deployment data science in python☆2,162Jul 12, 2025Updated last year
- Active Learning for Text Classification in Python☆646Oct 19, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,553Sep 14, 2026Updated last month
- Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets☆5,186Updated this week
- Efficient few-shot learning with Sentence Transformers☆2,856Oct 6, 2026Updated 3 weeks ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,184Updated this week
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,995Jun 16, 2024Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,172Mar 22, 2024Updated 2 years ago
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains☆1,725Oct 8, 2023Updated 3 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,435Updated this week
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,485May 2, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,289Mar 3, 2024Updated 2 years ago
- maximal update parametrization (µP)☆1,756Jul 17, 2024Updated 2 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,836Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- skweak: A software toolkit for weak supervision applied to NLP tasks☆925Sep 2, 2024Updated 2 years ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆777Oct 22, 2026Updated last week
- A python library for self-supervised learning and latent world models on images.☆3,823Updated this week
- Cramming the training of a (BERT-type) language model into limited compute.☆1,369Jun 13, 2024Updated 2 years ago
- Drift Detection for your PyTorch Models☆328Aug 26, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,753Jan 20, 2026Updated 9 months ago
- Uniform Manifold Approximation and Projection☆8,286Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,521Updated this week
- An open-source AutoML Library based on PyTorch☆306Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,553Dec 11, 2025Updated 10 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,270Updated this week