@intel-analytics
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intel-analytics

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  • Stars
    star
    9,073
  • Global Org. Rank 2,548 (Top 0.9 %)
  • Registered over 9 years ago
  • Most used languages
    Jupyter Notebook
         72.7 %
    C++
         9.1 %
    Shell
         9.1 %
    Python
         9.1 %

Top repositories

1

ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.
Python
6,018
star
2

BigDL-2.x

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
Jupyter Notebook
2,637
star
3

BigDL-Tutorials

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL
Jupyter Notebook
207
star
4

ipex-llm-tutorial

Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using ipex-llm
Jupyter Notebook
111
star
5

BigDL-core

Core HW bindings and optimizations for BigDL
C++
33
star
6

BigDL-trainings

Training materials for BigDL
Jupyter Notebook
13
star
7

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Jupyter Notebook
9
star
8

ait2019

7
star
9

zoo-tutorials

Tutorials for Analytics Zoo
Jupyter Notebook
6
star
10

OreillyAI2019

notebooks and tutorials for O'REILLY AI San Jose 2019
Jupyter Notebook
6
star
11

Chronos-workshop

Jupyter Notebook
3
star
12

BigDL-PPML-Azure-Occlum-Example

Shell
2
star