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【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、AI Agent、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
A driving dataset for the development and validation of fused pose estimators and mapping algorithms
Genome modeling and design across all domains of life
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Nanopore direct tRNA sequencing method refinement and RNA modification benchmarking
A deep neural network architecture for low-latency audio processing
A bioinformatics tool for working with modified bases
CRISPSR-GPT LLM Agent Public Welcome Page
Collection of tools for the analysis of CpG data
A PyTorch Basecaller for Oxford Nanopore Reads
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Tools (written in C using htslib) for manipulating next-generation sequencing data
Data and analysis for NA12878 genome on nanopore
Detection of RNA modifications from Oxford Nanopore direct RNA sequencing reads (Liu*, Begik* et al., Nature Comm 2019)
Concurrent identification of m6A and m5C modifications in individual molecules from nanopore sequencing
Signal based nanopore RNA demultiplexing with convolutional neural networks