A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch
☆127Aug 25, 2025Updated 8 months ago
Alternatives and similar repositories for gradnorm-pytorch
Users that are interested in gradnorm-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Oct 22, 2023Updated 2 years ago
- Implementation of a U-net complete with efficient attention as well as the latest research findings☆293May 3, 2024Updated 2 years ago
- Implementation of the Llama architecture with RLHF + Q-learning☆170Feb 1, 2025Updated last year
- Implementation of Metaformer, but in an autoregressive manner☆26Jun 21, 2022Updated 3 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆52Jul 26, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51May 10, 2022Updated 3 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆122Oct 17, 2024Updated last year
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆126Jul 26, 2024Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆104Dec 22, 2024Updated last year
- Implementation of Agent Attention in Pytorch☆93Jul 10, 2024Updated last year
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆92Dec 22, 2023Updated 2 years ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Oct 22, 2023Updated 2 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆253Sep 1, 2022Updated 3 years ago
- ☆51Mar 5, 2026Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind☆22Jun 9, 2024Updated last year
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆87Nov 1, 2025Updated 6 months ago
- Local Attention - Flax module for Jax☆22May 26, 2021Updated 4 years ago
- A simple cross attention that updates both the source and target in one step☆196Jul 29, 2025Updated 9 months ago
- Implementation of a holodeck, written in Pytorch☆19Nov 1, 2023Updated 2 years ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆383Jun 17, 2024Updated last year
- Implementation and explorations into Blackbox Gradient Sensing (BGS), an evolutionary strategies approach proposed in a Google Deepmind p…☆20Apr 17, 2026Updated 3 weeks ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Aug 3, 2021Updated 4 years ago
- A wrapper for TensorBoard SummaryWriter with real-time terminal visualization using the Rich library.☆18Nov 5, 2023Updated 2 years ago
- 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.
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆68Jan 10, 2023Updated 3 years ago
- Implementation of LogAvgExp for Pytorch☆37Apr 10, 2025Updated last year
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆178Sep 12, 2024Updated last year
- Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch☆356Oct 14, 2023Updated 2 years ago
- [ECCV 2024] Official PyTorch implementation of LUT "Learning with Unmasked Tokens Drives Stronger Vision Learners"☆13Dec 1, 2024Updated last year
- Implementation of the transformer proposed in "Building Blocks for a Complex-Valued Transformer Architecture"☆89Oct 13, 2023Updated 2 years ago
- Exploration into the Firefly algorithm in Pytorch☆41Feb 14, 2025Updated last year
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆37Sep 23, 2024Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Aug 18, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Jun 19, 2022Updated 3 years ago
- Implementation of the algorithm detailed in paper "Evolutionary design of molecules based on deep learning and a genetic algorithm"☆24Dec 15, 2023Updated 2 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30May 31, 2022Updated 3 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆207Aug 26, 2023Updated 2 years ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆47Jul 16, 2023Updated 2 years ago
- Official repository for Cell Attention Networks☆15Jan 11, 2024Updated 2 years ago
- [MICCAI 2024] Official code for the paper "MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation"☆14Nov 1, 2024Updated last year