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codebasic/pydeep-environments’s past year of commit activity - Transformers_Are_What_You_Dont_Need Public Forked from valeman/Transformers_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.
codebasic/Transformers_Are_What_You_Dont_Need’s past year of commit activity - llama-recipes Public Forked from meta-llama/llama-recipes
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
codebasic/llama-recipes’s past year of commit activity - 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
codebasic/segment_anything_keras’s past year of commit activity - 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?"
codebasic/LTSF-Linear’s past year of commit activity - scikit-learn_bench Public Forked from IntelPython/scikit-learn_bench
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
codebasic/scikit-learn_bench’s past year of commit activity
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