hristo-vrigazov / mmap.ninjaView external linksLinks
Memory mapped numpy arrays of varying shapes
☆307Feb 3, 2026Updated 2 weeks ago
Alternatives and similar repositories for mmap.ninja
Users that are interested in mmap.ninja are comparing it to the libraries listed below
Sorting:
- Named tensors with first-class dimensions for PyTorch☆332Jun 14, 2023Updated 2 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Nov 30, 2021Updated 4 years ago
- Analyzing the tree of imports of running Python code.☆12Feb 17, 2023Updated 3 years ago
- Optimized library for large-scale extraction of frames and audio from video.☆204Sep 11, 2023Updated 2 years ago
- Check if you have training samples in your test set☆64May 7, 2022Updated 3 years ago
- RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP☆254Feb 6, 2023Updated 3 years ago
- The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).☆562Jul 13, 2023Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆488Jul 1, 2022Updated 3 years ago
- Multiple dispatch over abstract array types in JAX.☆136Dec 15, 2025Updated 2 months ago
- Fast and simple stream processing of files in tar files, useful for deep learning, big data, and many other applications.☆133Dec 10, 2023Updated 2 years ago
- Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.☆1,829Jan 18, 2026Updated 3 weeks ago
- Blazing fast framework for fine-tuning similarity learning models☆662Jan 5, 2026Updated last month
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,989Jun 16, 2024Updated last year
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆88Dec 3, 2021Updated 4 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473May 12, 2022Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,395Jan 26, 2026Updated 3 weeks ago
- 10x faster matrix and vector operations☆2,517Oct 12, 2022Updated 3 years ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,734Updated this week
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,471May 2, 2025Updated 9 months ago
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,121Updated this week
- The opinionated machine learning experimentation framework☆13Jun 16, 2021Updated 4 years ago
- A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.☆2,990Feb 9, 2026Updated last week
- Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt☆140Jan 3, 2024Updated 2 years ago
- ☆29Oct 3, 2022Updated 3 years ago
- Functional deep learning☆108Nov 23, 2022Updated 3 years ago
- A Wadler–Lindig pretty printer for Python☆44Jan 16, 2026Updated last month
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,074Apr 17, 2024Updated last year
- Live Python Notebooks with any Editor☆279Dec 7, 2022Updated 3 years ago
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,704Jan 12, 2026Updated last month
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Aug 21, 2025Updated 5 months ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆22Jun 30, 2025Updated 7 months ago
- maximal update parametrization (µP)☆1,676Jul 17, 2024Updated last year
- Python Research Framework☆107Nov 3, 2022Updated 3 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆218Apr 4, 2021Updated 4 years ago
- Tensors, for human consumption☆1,353Jan 22, 2026Updated 3 weeks ago
- Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.☆4,363Oct 19, 2025Updated 3 months ago
- Fast, differentiable sorting and ranking in PyTorch☆848Jun 9, 2025Updated 8 months ago
- D-Adaptation for SGD, Adam and AdaGrad☆528Jan 22, 2025Updated last year
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,771Updated this week