facebookresearch / adaptive_scheduling
Experimental scripts for researching data adaptive learning rate scheduling.
☆23Updated last year
Alternatives and similar repositories for adaptive_scheduling:
Users that are interested in adaptive_scheduling are comparing it to the libraries listed below
- code for paper "Accessing higher dimensions for unsupervised word translation"☆21Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆54Updated 2 years ago
- JAX Scalify: end-to-end scaled arithmetics☆16Updated 6 months ago
- implementation of dualformer☆16Updated 2 months ago
- Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data☆21Updated 9 months ago
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆12Updated last month
- Official code for the paper "Attention as a Hypernetwork"☆30Updated 10 months ago
- ☆33Updated 7 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year
- Code, results and other artifacts from the paper introducing the WildChat-50m dataset and the Re-Wild model family.☆29Updated last month
- A dashboard for exploring timm learning rate schedulers☆19Updated 5 months ago
- Utilities for Training Very Large Models☆58Updated 7 months ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated last year
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆24Updated 3 months ago
- ☆29Updated 2 years ago
- Code for the examples presented in the talk "Training a Llama in your backyard: fine-tuning very large models on consumer hardware" given…☆14Updated last year
- Code repository for the public reproduction of the language modelling experiments on "MatFormer: Nested Transformer for Elastic Inference…☆19Updated last year
- ☆51Updated 10 months ago
- Efficient Scaling laws and collaborative pretraining.☆16Updated 3 months ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated 6 months ago
- Description and applications of OpenAI's paper about DALL-E (2021) and implementation of other (CLIP-guided) zero-shot text-to-image gene…☆33Updated 2 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 11 months ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆34Updated 8 months ago
- Directed masked autoencoders☆14Updated 2 years ago
- ☆21Updated 4 months ago