EfficientDL / book
PDFs and Codelabs for the Efficient Deep Learning book.
☆192Updated last year
Alternatives and similar repositories for book:
Users that are interested in book are comparing it to the libraries listed below
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆127Updated last year
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆505Updated 4 months ago
- Prune a model while finetuning or training.☆399Updated 2 years ago
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆84Updated last year
- Slicing a PyTorch Tensor Into Parallel Shards☆298Updated 3 years ago
- A curated list of awesome resources combining Transformers with Neural Architecture Search☆263Updated last year
- A scalable & efficient active learning/data selection system for everyone.☆214Updated 7 months ago
- ☆198Updated 3 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆618Updated last year
- MinT: Minimal Transformer Library and Tutorials☆252Updated 2 years ago
- A library for researching neural networks compression and acceleration methods.☆140Updated 5 months ago
- ☆72Updated 3 years ago
- ☆130Updated last year
- 📑 Dive into Big Model Training☆110Updated 2 years ago
- Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀☆113Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆160Updated 2 years ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆247Updated this week
- Accelerate training by storing parameters in one contiguous chunk of memory.☆292Updated 4 years ago
- Accelerate PyTorch models with ONNX Runtime☆358Updated 5 months ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆596Updated 9 months ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆211Updated 3 years ago
- Library for 8-bit optimizers and quantization routines.☆717Updated 2 years ago
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆307Updated this week
- Easily benchmark machine learning models in PyTorch☆149Updated 11 months ago
- Software Architecture for ML engineers☆395Updated 2 years ago
- papers about model compression☆167Updated 2 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆154Updated 2 months ago
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆301Updated 2 weeks ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆201Updated 2 years ago
- An open collection of implementation tips, tricks and resources for training large language models☆469Updated last year