Click the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Important content delivered first This article introduces several Python IDEs and evaluates their pros and cons. Readers can refer to the list of Python IDEs mentioned in this article to choose the editor that suits them best. The best way to write Python … Read more
Follow👆the public account and reply with 'python' to get the zero-based tutorial! Source from the internet, please delete if infringing Introduction to Python Data Analysis Basics 1. Descriptive Statistics (descriptive statistics) Descriptive statistics is the first step in understanding the basic characteristics of a dataset, including statistics such as mean, median, and standard deviation. [Tutorial … Read more
Follow 👆 the public account and reply with 'python' to get a zero-based tutorial! Source from the internet, delete if infringed 1. Introduction to Python【Surprise benefits at the end】 1. Why Learn Python? Before learning Python, don’t worry if you have no foundation or think you’re “not smart enough”. I firmly believe that as long … Read more
Evaluation of a novel signature for PARP inhibitor sensitivity prediction using real-world data. Evaluation of a novel PARP inhibitor sensitivity biomarker using real-world data. First Author: Emily Vucic, Zephyr AI Background Tumors with homologous recombination repair deficiencies (HRD+) are susceptible to PARP inhibitors (PARPi) which exploit a synthetic lethality by targeting an essential base excision … Read more
One Background Introduction Human perception of the physical world has evolved from subjective feelings to sensors and then to sensor networks, as shown in Figure 1. As sensors become smaller and data collection becomes more widespread, a prominent issue has also emerged: the high deployment cost of sensing systems. Especially as the sensing range and … Read more
Source: DeepHub IMBA This article is approximately 2000 words long, suggesting an 8-minute read. GaLore can save VRAM, allowing training of a 7B model on consumer-grade GPUs, but it is slower, taking almost twice as long as fine-tuning and LoRA. Training large language models (LLMs), even those with “only” 7 billion parameters, is a computationally … Read more
Source: PaperWeekly This article is about 2800 words long and is recommended to be read in 6 minutes. This article mainly introduces how a paper is born. Nothing will work unless you do. ——Maya Angelou This article mainly introduces how a paper is born. The basic information of the article is as follows: Paper Title: … Read more
MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and abroad, especially … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering audiences including NLP graduate students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Source … Read more
MLNLP community is a well-known machine learning and natural language processing community at home and abroad, covering domestic and international NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between academia, industry, and enthusiasts in natural language processing and machine learning, especially for beginners. Selected … Read more