pretraining-model

Here are 6 public repositories matching this topic...

datamllab / openesm

Open-source code for training and scaling up energy-based foundation models.

Updated Oct 10, 2026
Python

shengchaochen82 / FFTS

[AAAI'25] The implementation of paper "Federated Foundation Models on Heterogeneous Time Series" | The first work to explore time series foundation models on federated setting.

time-series classification imputation pretrained-models federated forecasting-models anomaly-detection fine-tuning federated-learning timeseries-forecasting pretraining foundation-models pretraining-model

Updated May 10, 2026
Python

Deceptrax123 / Self-Supervised-Pseudolabelling-using-CSPDarknet-53

Star

Self Supervised Pseudolabelling of images with multiple objects using YOLOv3's Backbone

research yolo object-detection self-supervised-learning pretraining-model

Updated Dec 13, 2023
Python

kandivault-source / Sprocket-500M

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A 501M-parameter language model trained from scratch on 20B tokens: custom BPE tokenizer, original Llama-style architecture, training and SFT pipeline, and unattended cloud orchestration. 54 hours on one H100 for about $165.