fjfabz

fjfabz

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

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deep-person-reid

Deep learning person re-identification in PyTorch.

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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easydl

utils to make deep learning easy

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EasyDL_test_python

用python对百度EasyDL训练的图像分类模型进行测试

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ElectionGuard-SDK-Specification

This repository contains a specification describing the ElectionGuard software development kit, including cryptographic protocols and implementation decisions, as well as an overview of voting system components and functionality.

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gtc2019-numba

Numba tutorial for GTC2019

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HyperFT

开源移动端快速视频人脸跟踪-移动端150FPS+

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labelImg2easydl

labelImg标记文件导入easydl工具

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Mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

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models

Models and examples built with TensorFlow

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MTCNN_FaceDetection_TensorRT

MTCNN C++ implementation with NVIDIA TensorRT Inference accelerator SDK

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Multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

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node-mongodb-native

Mongo DB Native NodeJS Driver

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Nuitka

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, and 3.7. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

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NUITKA-Utilities

A collection of scripts involving nuitka compiles

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numba

NumPy aware dynamic Python compiler using LLVM

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PyTorch_ONNX_TensorRT

A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

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Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

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sotabench-eval

Easily evaluate machine learning models on public benchmarks

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TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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TensorRT-Yolov3

TensorRT for Yolov3

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tf-keras-yolov2-tracking

yolo v2 implementation for object detection and object tracking(SORT) with tensorflow and keras

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tf_trt_models

TensorFlow models accelerated with NVIDIA TensorRT

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torchbench

Easily benchmark machine learning models in PyTorch

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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Udacity-self-driving-engineer-P5-extended-kalman-filter

本文为优达学城无人驾驶工程师纳米学位P5-扩展卡尔曼滤波器

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YOLO_Object_Detection--sort-of-refork-

https://github.com/llSourcell/YOLO_Object_Detection (original github)

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