GuanTongpeng (guantongpeng)

guantongpeng

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Company:Beijing Institute of Technology

Location:BeiJing

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GuanTongpeng's starred repositories

UnderstandingDeepLearning-ZH-CN

UnderstandingDeepLearing中文翻译

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basic_knowledge

Things to learn for new students in the Lab for AI chips and systems of BJTU .

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bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs

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lectures

Material for cuda-mode lectures

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sw

NVDLA SW

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Compass_Optimizer

Compass Optimizer (OPT for short), is part of the Zhouyi Compass Neural Network Compiler. The OPT is designed for converting the float Intermediate Representation (IR) generated by the Compass Unified Parser to an optimized quantized or mixed IR which is suited for Zhouyi NPU hardware platforms.

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intel-npu-acceleration-library

Intel® NPU Acceleration Library

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dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

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cambrian

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

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dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

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tensorRT_Pro

C++ library based on tensorrt integration

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mmdeploy

OpenMMLab Model Deployment Framework

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NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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ai.deploy.box

A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM | StableDiffusion

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pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

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FasterTransformer

Transformer related optimization, including BERT, GPT

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mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

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MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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LLM101n

LLM101n: Let's build a Storyteller

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self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合**宝宝的部署教程

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learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

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so-large-lm

大模型基础: 一文了解大模型基础知识

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Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

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CogVLM2

GPT4V-level open-source multi-modal model based on Llama3-8B

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GLM-4

GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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