Egbert (zhangwhao)

zhangwhao

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Egbert's repositories

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

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consistency_models

Official repo for consistency models.

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ColossalAI

Making big AI models cheaper, easier, and more scalable

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awesome-public-datasets

A topic-centric list of HQ open datasets.

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spconv

Spatial Sparse Convolution Library

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alphafold

Open source code for AlphaFold.

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grace

GRACE - GRAdient ComprEssion for distributed deep learning

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CenterNet2

Two-stage CenterNet

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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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tornado

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

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insightface

Face Analysis Project on MXNet

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gpt-3

GPT-3: Language Models are Few-Shot Learners

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learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

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TNN

TNN:由腾讯优图实验室打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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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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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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Best-websites-a-programmer-should-visit-zh

程序员应该访问的最佳网站中文版

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zhangwhao.github.io

personal blog

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interview_python

关于Python的面试题

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models

Models and examples built with TensorFlow

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LabelMeAnnotationTool

Source code for the LabelMe annotation tool.

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first-try

it's the first try for use github

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