Compression schema for gradients of activations in backward pass
☆45Jul 26, 2023Updated 2 years ago
Alternatives and similar repositories for fewbit
Users that are interested in fewbit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A neural network training framework within a task-based parallel programming paradigm☆55Updated this week
- Quadrature-based features for kernel approximation☆16Oct 30, 2018Updated 7 years ago
- ☆11Dec 6, 2020Updated 5 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Feb 16, 2021Updated 5 years ago
- Python progress bar with rich output that uses native ipython functionality. Widget-free. Works even in JupyterLab.☆39Feb 10, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Sep 8, 2022Updated 3 years ago
- First Latency-Aware Competitive LLM Agent Benchmark☆28Jun 3, 2025Updated 11 months ago
- [ICLRW'26] EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation☆45Apr 21, 2026Updated last month
- Code for the paper "Faster Neural Network Training with Approximate Tensor Operations"☆10Oct 23, 2021Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior usin…☆37Oct 7, 2025Updated 7 months ago
- ☆16Dec 9, 2023Updated 2 years ago
- some mixture of experts architecture implementations☆27Mar 22, 2024Updated 2 years ago
- Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent☆16Sep 8, 2022Updated 3 years ago
- 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.
- ☆11Feb 2, 2024Updated 2 years ago
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- ☆15Apr 26, 2022Updated 4 years ago
- Fork of Flame repo for training of some new stuff in development☆19Apr 24, 2026Updated last month
- ☆15Jul 25, 2024Updated last year
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆40May 4, 2026Updated 3 weeks ago
- ☆49May 20, 2025Updated last year
- This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)☆19Dec 20, 2018Updated 7 years ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆52May 29, 2019Updated 6 years ago
- ☆52Nov 5, 2024Updated last year
- A Learnable LSH Framework for Efficient NN Training☆34Jul 22, 2021Updated 4 years ago
- ☆10Aug 5, 2020Updated 5 years ago
- Catalyst.RL: A Distributed Framework for Reproducible RL Research☆38Mar 17, 2019Updated 7 years ago
- A collection of optimizers, some arcane others well known, for Flax.☆29Aug 6, 2021Updated 4 years ago
- A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays☆65Nov 20, 2025Updated 6 months ago
- ☆12Mar 16, 2022Updated 4 years ago
- Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention☆68Apr 7, 2026Updated last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for reproducing the results from "CrAM: A Compression-Aware Minimizer" accepted at ICLR 2023☆10Mar 1, 2023Updated 3 years ago
- ☆26Apr 23, 2026Updated last month
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 6 years ago
- Take control back!☆18Jun 22, 2022Updated 3 years ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆69Jun 26, 2024Updated last year
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆29Dec 6, 2023Updated 2 years ago
- Skoltech Geometric Computer Vision v.2021.1☆11Mar 22, 2021Updated 5 years ago