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CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge techniques in sparse architecture, speculative sampling and qua…
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
哔哩下载姬downkyi,哔哩哔哩网站视频下载工具,支持批量下载,支持8K、HDR、杜比视界,提供工具箱(音视频提取、去水印等)。
Command-line program to download videos from YouTube.com and other video sites
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Issues related to MLPerf™ training policies, including rules and suggested changes
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
alibaba-archive / BigDL
Forked from intel/ipex-llmBigDL: Distributed Deep Learning Library for Apache Spark
Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL
Remarkable - The Markdown Editor for Linux http://remarkableapp.github.io
Deep Learning and deep reinforcement learning research papers and some codes
Simplifying robust end-to-end machine learning on Apache Spark.
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
A platform to build and run apps that are elastic, agile, and resilient. SDK, libraries, and hosted environments.
weiliu89 / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.