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- google-timesfm Public Forked from google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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- Transformers_Are_What_You_Dont_Need Public Forked from valeman/Transformers_And_LLM_Are_What_You_Dont_Need
The best repository showing why transformers don’t work in time series forecasting and showcasing the best SOTA non transformer models.
- llama-recipes Public Forked from meta-llama/llama-cookbook
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
- segment_anything_keras Public Forked from tirthasheshpatel/segment_anything_keras
A multi-backend (TensorFlow, PyTorch, JAX, and NumPy) implementation of the Segment Anything model in Keras 3.0
- LTSF-Linear Public Forked from cure-lab/LTSF-Linear
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
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