endymecy repositories

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

Last commit Dec 16, 2025

Implements pytorch code for the Accelerated SGD algorithm.

Last commit Mar 10, 2018

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.

Last commit May 6, 2020

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

Last commit May 29, 2018

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

Last commit Jul 16, 2018

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

Last commit Nov 20, 2018

A Python implementation of global optimization with gaussian processes.

Last commit Jan 31, 2018

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

Last commit Apr 26, 2019

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

Last commit Feb 11, 2020

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

Last commit May 31, 2018

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

Last commit Apr 3, 2018

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

Last commit Oct 28, 2025

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

Last commit Feb 22, 2016

Gaussian processes in TensorFlow

Last commit Jul 11, 2018

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

Last commit Jan 17, 2019

The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling

Last commit Jan 9, 2018

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.

Last commit Dec 7, 2019

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

Last commit Jan 21, 2018

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.

Last commit Jan 10, 2019

Most popular metrics used to evaluate object detection algorithms

Last commit Jun 22, 2018