Repositórios

Repositórios de endymecy

107 repositórios suportados

Code for "APTBench: Benchmarking Agentic Potential of Base LLMs During Pre-Training"

Último commit 16 de dez. de 2025

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Implements pytorch code for the Accelerated SGD algorithm.

Último commit 10 de mar. de 2018

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endymecy/AdvBoxJupyter Notebook

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Último commit 6 de mai. de 2020

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Some popular algorithms(dbscan,knn,fm etc.) on spark

Último commit 29 de mai. de 2018

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将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解

Último commit 16 de jul. de 2018

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A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Último commit 20 de nov. de 2018

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A Python implementation of global optimization with gaussian processes.

Último commit 31 de jan. de 2018

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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,50余万字。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

Último commit 26 de abr. de 2019

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

Último commit 11 de fev. de 2020

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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Último commit 31 de mai. de 2018

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PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Último commit 3 de abr. de 2018

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Code for paper "Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents"

Último commit 28 de out. de 2025

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Matei Alexandru Zaharia博士论文的翻译-An Architecture for Fast and General Data Processing on Large Clusters

Último commit 22 de fev. de 2016

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Gaussian processes in TensorFlow

Último commit 11 de jul. de 2018

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A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Último commit 17 de jan. de 2019

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The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling

Último commit 9 de jan. de 2018

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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Último commit 7 de dez. de 2019

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Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc

Último commit 21 de jan. de 2018

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NDIToolbox is an open source extensible signal and image processing application under development by TRI/Austin designed to assist with the analysis of complex Nondestructive Inspection (NDI) data.

Último commit 10 de jan. de 2019

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Most popular metrics used to evaluate object detection algorithms

Último commit 22 de jun. de 2018

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