XiaoMi/mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Language: C++
#deep_learning #hvx #machine_learning #neon #neural_network #opencl
Stars: 1753 Issues: 6 Forks: 281
https://github.com/XiaoMi/mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Language: C++
#deep_learning #hvx #machine_learning #neon #neural_network #opencl
Stars: 1753 Issues: 6 Forks: 281
https://github.com/XiaoMi/mace
GitHub
GitHub - XiaoMi/mace: MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms. - XiaoMi/mace
danielhanchen/hyperlearn
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels combo with new novel algorithms.
Language: Jupyter Notebook
#data_analysis #data_science #deep_learning #econometrics #gpu #machine_learning #neural_network #python #pytorch #regression_models #scikit_learn #statistics #statsmodels #tensor
Stars: 178 Issues: 5 Forks: 10
https://github.com/danielhanchen/hyperlearn
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels combo with new novel algorithms.
Language: Jupyter Notebook
#data_analysis #data_science #deep_learning #econometrics #gpu #machine_learning #neural_network #python #pytorch #regression_models #scikit_learn #statistics #statsmodels #tensor
Stars: 178 Issues: 5 Forks: 10
https://github.com/danielhanchen/hyperlearn
GitHub
GitHub - unslothai/hyperlearn: 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. - unslothai/hyperlearn