PrunaAI / prunaLinks
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
โ810Updated this week
Alternatives and similar repositories for pruna
Users that are interested in pruna are comparing it to the libraries listed below
Sorting:
- A curated list of materials on AI efficiencyโ77Updated last week
- A lightweight, local-first, and free experiment tracking Python library built on top of ๐ค Datasets and Spaces.โ626Updated this week
- Transform datasets at scale. Optimize datasets for fast AI model training.โ520Updated this week
- PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wriโฆโ1,384Updated this week
- โ186Updated this week
- Best practices & guides on how to write distributed pytorch training codeโ464Updated 5 months ago
- Next Generation Experimental Tracking for Machine Learning Operationsโ334Updated 2 months ago
- ๐ค Benchmark Large Language Models Reliably On Your Dataโ385Updated this week
- Actually Robust Training - Tool Inspired by Andrej Karpathy "Recipe for training neural networks". It allows you to decompose your Deepโฆโ45Updated last year
- Multi-backend recommender systems with Keras 3โ139Updated last week
- โ449Updated last week
- TabBench is a benchmark built to evaluate machine learning models on tabular data, focusing on real-world industry use cases.โ105Updated last month
- A Lossless Compression Library for AI pipelinesโ274Updated last month
- Fast State-of-the-Art Static Embeddingsโ1,790Updated this week
- Where GPUs get cooked ๐ฉโ๐ณ๐ฅโ274Updated last week
- Tool for generating high quality Synthetic datasetsโ1,117Updated last week
- โ150Updated 11 months ago
- An implementation of PSGD Kron second-order optimizer for PyTorchโ94Updated 2 weeks ago
- Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"โ560Updated last year
- ๐ข๐๐ป ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ. Skore's open-source Python library accelerates ML model development with automated evaluation reโฆโ517Updated this week
- Recipes for shrinking, optimizing, customizing cutting edge vision models. ๐โ1,551Updated 3 weeks ago
- Minimal and annotated implementations of key ideas from modern deep learning research.โ1,088Updated last month
- Official Implementation of "ADOPT: Modified Adam Can Converge with Any ฮฒ2 with the Optimal Rate"โ428Updated 8 months ago
- Official repository for our work on micro-budget training of large-scale diffusion models.โ1,505Updated 7 months ago
- Synthetic Data SDK โจโ620Updated this week
- โฐ AI conference deadline countdownsโ272Updated 2 weeks ago
- Toolkit for attaching, training, saving and loading of new heads for transformer modelsโ284Updated 5 months ago
- A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptationโ833Updated 2 months ago
- Courses on building, compressing, evaluating, and deploying efficient AI models.โ24Updated this week
- lightweight, python based chat uiโ329Updated 3 months ago