facebookresearch / adaptive_schedulingLinks
Experimental scripts for researching data adaptive learning rate scheduling.
☆22Updated 2 years ago
Alternatives and similar repositories for adaptive_scheduling
Users that are interested in adaptive_scheduling are comparing it to the libraries listed below
Sorting:
- Utilities for Training Very Large Models☆58Updated last year
- code for paper "Accessing higher dimensions for unsupervised word translation"☆22Updated 2 years ago
- A dashboard for exploring timm learning rate schedulers☆19Updated last year
- Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data☆23Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆46Updated 2 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆56Updated 2 years ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Description and applications of OpenAI's paper about DALL-E (2021) and implementation of other (CLIP-guided) zero-shot text-to-image gene…☆33Updated 3 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 5 months ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆39Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆38Updated 9 months ago
- JAX Scalify: end-to-end scaled arithmetics☆17Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 8 months ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆47Updated 2 years ago
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated 2 years ago
- Here we will test various linear attention designs.☆62Updated last year
- ☆34Updated last year
- Code for paper Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training☆22Updated 2 years ago
- ☆52Updated last year
- Implementation of a holodeck, written in Pytorch☆18Updated 2 years ago
- ☆24Updated 11 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- Code for the examples presented in the talk "Training a Llama in your backyard: fine-tuning very large models on consumer hardware" given…☆14Updated 2 years ago
- Fork of Flame repo for training of some new stuff in development☆19Updated last week