Code for "APTBench: Benchmarking Agentic Potential of Base LLMs During Pre-Training"
Repositories
endymecy Repositories
Implements pytorch code for the Accelerated SGD algorithm.
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.
Some popular algorithms(dbscan,knn,fm etc.) on spark
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
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A Python implementation of global optimization with gaussian processes.
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
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Code for paper "Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents"
Matei Alexandru Zaharia博士论文的翻译-An Architecture for Fast and General Data Processing on Large Clusters
Gaussian processes in TensorFlow
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling
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.
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
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.
Most popular metrics used to evaluate object detection algorithms