catid / dataloaderLinks
High-performance tokenized language data-loader for Python C++ extension
☆13Updated last year
Alternatives and similar repositories for dataloader
Users that are interested in dataloader are comparing it to the libraries listed below
Sorting:
- Implementation of a holodeck, written in Pytorch☆18Updated last year
- ☆60Updated 3 years ago
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 2 years ago
- ☆13Updated 4 months ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- ☆31Updated last year
- See https://github.com/cuda-mode/triton-index/ instead!☆11Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Implementation of Spectral State Space Models☆16Updated last year
- RWKV model implementation☆38Updated 2 years ago
- ☆18Updated last year
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 5 years ago
- Easily serialize dataclasses to and from tensors (PyTorch, NumPy)☆18Updated 4 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator☆31Updated 2 years ago
- Flax Image Models - State-of-the-art pre-trained vision backbones for Flax.☆23Updated 4 months ago
- ☆28Updated last year
- List of awesome JAX resources☆13Updated 2 years ago
- ☆31Updated 3 months ago
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆20Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- A stateful pytree library for training neural networks.☆22Updated last month
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆32Updated 4 months ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- NumPy+Jax with named axes and an uncompromising attitude☆21Updated 7 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 8 months ago
- Write your code as tree-like expressions, then transform it☆21Updated last year
- Simplified implementation of UMAP like dimensionality reduction algorithm☆50Updated 10 months ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Utilities for PyTorch distributed☆25Updated 7 months ago