data-science machine-learning data-mining deep-learning time-series neural-network clustering interpolation pytorch healthcare forecasting classification incomplete imputation industrial missingness time-series-analysis science-research missing-values partially-observed-time-series Resources Readme License BSD-3...
- Gemma-2-27B-Chinese-Chat是基于google/gemma-2-27b-it的指导调优语言模型,适用于中英文用户,具有多种能力。 - 提供了Gemma-2-27B-Chinese-Chat的GGUF文件和官方ollama模型的链接。 - 模型基于google/gemma-2-27b-it,模型大小为27.2B,上下文长度为8K。 - 使用LLaMA-Factory进行训练,训练细节包括3个epochs、...
Fix error that occurs when batch_size is less than max_batch_size for gpt pytorch wrapper. Fix memory leak that occurs every forward because of reused allocator. Fix race condition that occurs in repetition penalty kernel. Enhancement Add random seed setting. ...
python-pytorch-cuda Optional For : None Conflicts With : intel-mkl intel-mkl-static intel-oneapi-basekit Replaces : intel-mkl intel-mkl-static Installed Size : 3.16 GiB Packager : Torsten Keßler <tpkessler@archlinux.org> Build Date : Sat 02 Sep 2023 04:22:23 PM CEST ...
Several functions inutils.pyare modified versions from theFFJORD codebase. The modified AdamW implementation insmart_adam.pyis based on PyTorch's Adam implementation. The volumetric rendering inrenderer.pyis based on Yen-Chen Lin'sNeRF code, which in turn is based on theoriginal NeRF code. The...
This PR updates PyTorch's torch.digamma function to be consistent with SciPy's special.digamma function. This changes the result of the torch.digamma function on the nonpositive integers, where the gamma function is not defined. Since the gamma function is undefined at these points, the (typica...
Stable Dreamfusion A pytorch implementation of the text-to-3D model Dreamfusion, powered by the Stable Diffusion text-to-2D model. Model SV3D Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion. 3D Tafi AI text to 3D character engine. Model 3D-GPT ...
Acknowledgments MIR GSS CN-DPM GDumb AGEM Note The PyTorch implementation of ASER in this repository is more efficient than the original TensorFlow implementation and has better performance. The results of the ASER paper can be reproduced in the original TensorFlow implementation repository.About...
PyTorch is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. Primarily developed by Facebook's AI Research lab.Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and ...
Parameters: These layers typically have more parameters than convolutional layers due to the lack of weight sharing, which can lead to increased computational complexity and memory usage. Use cases: Locally connected layers can be useful in scenarios where position-specific features are important, such...