ZhaoJ9014/face.evoLVe.PyTorch
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
Language: Python
#artificial_intelligence #computer_vision #convolutional_neural_network #data_augmentation #deep_learning #face_alignment #face_detection #face_landmark_detection #face_recognition #feature_extraction #fine_tuning #hard_negative_mining #imbalanced_learning #machine_learning #model_training #nus #pytorch #supervised_learning #tencent #transfer_learning
Stars: 132 Issues: 1 Forks: 20
https://github.com/ZhaoJ9014/face.evoLVe.PyTorch
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
Language: Python
#artificial_intelligence #computer_vision #convolutional_neural_network #data_augmentation #deep_learning #face_alignment #face_detection #face_landmark_detection #face_recognition #feature_extraction #fine_tuning #hard_negative_mining #imbalanced_learning #machine_learning #model_training #nus #pytorch #supervised_learning #tencent #transfer_learning
Stars: 132 Issues: 1 Forks: 20
https://github.com/ZhaoJ9014/face.evoLVe.PyTorch
GitHub
GitHub - ZhaoJ9014/face.evoLVe: 🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥 - ZhaoJ9014/face.evoLVe
firmai/deltapy
DeltaPy - Tabular Data Augmentation
Language: Jupyter Notebook
#augmentation #data_augmentation #data_science #feature_engineering #feature_extraction #machine_learning #tabular_data #time_series
Stars: 120 Issues: 0 Forks: 4
https://github.com/firmai/deltapy
DeltaPy - Tabular Data Augmentation
Language: Jupyter Notebook
#augmentation #data_augmentation #data_science #feature_engineering #feature_extraction #machine_learning #tabular_data #time_series
Stars: 120 Issues: 0 Forks: 4
https://github.com/firmai/deltapy
GitHub
GitHub - firmai/deltapy: DeltaPy - Tabular Data Augmentation (by @firmai)
DeltaPy - Tabular Data Augmentation (by @firmai). Contribute to firmai/deltapy development by creating an account on GitHub.
PaulPauls/llama3_interpretability_sae
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
Language: Python
#feature_extraction #feature_steering #llama3 #llm_interpretability #open_research #pytorch #sparse_autoencoder
Stars: 285 Issues: 0 Forks: 13
https://github.com/PaulPauls/llama3_interpretability_sae
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
Language: Python
#feature_extraction #feature_steering #llama3 #llm_interpretability #open_research #pytorch #sparse_autoencoder
Stars: 285 Issues: 0 Forks: 13
https://github.com/PaulPauls/llama3_interpretability_sae
GitHub
GitHub - PaulPauls/llama3_interpretability_sae: A complete end-to-end pipeline for LLM interpretability with sparse autoencoders…
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible. - PaulPauls/llama3_interpretability_sae