Analytics Vidhya

NOVEMBER 8, 2020

The post How to Download, Install and use Nvidia GPU for tensorflow on windows appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Overview understanding GPU’s in Deep learning. Starting with prerequisites for the installation.

Deep Learning 254

Deep Learning Data Science Python 254

AssemblyAI

MARCH 18, 2024

venv/bin/activate # Windows: python -m venv venv.venvScriptsactivate.bat Next, install the AssemblyAI Python SDK: pip install assemblyai Then set your AssemblyAI API Key as an environment variable. Step 1: Set up environment First, create a project directory and navigate into it. You can get an AssemblyAI API key here for free. . #

Python 173

Python Machine Learning AI Modeling AI 173

Analytics Vidhya

JUNE 30, 2021

The post Download 15 years of Nifty Index Options Data using NSEpy Package appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon In my previous article on fat tails in the NSE.

Data Science 186

Data Science Data Mining Python Machine Learning 186

Analytics Vidhya

APRIL 30, 2021

The post How to Download Kaggle Datasets using Jupyter Notebook appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. What is Kaggle? Kaggle is a vast online community of professionals.

Data Science 149

Data Science Python 149

Towards AI

MARCH 13, 2024

This article will walk you through using ollama, a command line tool that allows you to download, explore and use Large Language Models (LLM) on your local PC, whether Windows, Mac or Linux, with GPU support. It is available both via GitHub and through the official website, where you can download the versions for Windows, Mac, and Linux.

Python 100

Python Large Language Models LLM AI 100

Analytics Vidhya

DECEMBER 11, 2023

No more breaking the bank or downloading apps. From setting up llama-cpp-python to exploring the power of local LLMs with the help of autogen framework. Introduction Are you ready to create your AI team without relying on OpenAI and LM studio?

OpenAI 250

OpenAI Python AI AI 250

Towards AI

DECEMBER 19, 2023

In terms of “working around”, I typically download the video and automate the subtitle-inputting process with Python. This involves First, download the video of your choiceExtracting the audio from the videoTranscribe the audio and then translate it into the language of your choice. pip install moviepy!pip pip install pytube!apt

Python 105

Python Automation Generative AI AI 105

Towards AI

APRIL 3, 2024

Simple creation of Python scripts for interactive choropleth mapsDall-E image: image of an interactive choropleth map on a computer screen. With simple modular prompting, GPT-4 is an awesome tool for generating Python code to clean and to visualize your data. After a quick first look, we can see that some data cleaning is in order.

Python 98

Python AI AI Data Analysis 98

Towards AI

APRIL 19, 2024

On-the-fly interactive choropleth and bubble map codeDall-E image: impressionist painting of mapping global undernourishment GPT-4 prompting for Python code generation has drastically expedited my coding workflow. Last Updated on April 21, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI.

Python 74

Python AI AI Machine Learning 74

Towards AI

APRIL 1, 2024

Using Python, type this in the notebook: !pip pip install kaggle Next, upload the kaggle.json file that you downloaded from Kaggle: from google.colab import filesfiles.upload() Once uploaded, run this: !mkdir kaggle datasets download -d jakeshbohaju/brain-tumor Unzip the files: ! cp kaggle.json ~/.kaggle/!chmod chmod 600 ~/.kaggle/kaggle.json!kaggle

Python 92

Python AI AI Data Science 92

Towards AI

JANUARY 2, 2024

Bringing Pictures to Life: A Step-by-Step Guide to Text Generation from Images Using Python. Image to Speech application (video by author) We start by installing the interference engine to run the model and download the model weights. created by DALL-E 3). Join thousands of data leaders on the AI newsletter.

Python 82

Python Explainability AI AI 82

Towards AI

AUGUST 29, 2023

C++ enterprise application for Windows executes a Python module. Image generated by the author using AI tools Intro Python’s simplicity, extensive package ecosystem, and supportive community make it an attractive choice. Frequently, Python code invokes C++ methods for intricate algorithmic calculations. Neither seems optimal.

Python 84

Python Inference Engine Machine Learning AI Tools 84

Mlearning.ai

FEBRUARY 7, 2023

Photo by Christopher Gower on Unsplash There are multiple ways to get started with Python, but I have found Anaconda to be the best. If you are interested in learning Python, this is a quick guide. Follow the download instructions below, and you will be writing code soon. Visit [link] and download. Launch Spyder.

Python 52

Python ML 52

ODSC - Open Data Science

JANUARY 23, 2023

Data visualization is becoming increasingly popular, meaning open-source tools like Python are more widely used by data scientists and other computer science professionals. Powerful Python libraries enable you to create unique 3D animations and visualizations. The Role of 3D Animation There are several applications for 3D animation.

Python 97

Python Data Science Data Scientist Artificial Intelligence 97

Marktechpost

NOVEMBER 25, 2023

Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. snnTorch , a pandemic-born passion project, has gained traction, surpassing 100,000 downloads.

Neural Network 113

Neural Network Python Deep Learning Artificial Intelligence 113

Marktechpost

DECEMBER 16, 2023

The intersection of neuroscience and artificial intelligence has seen remarkable progress, notably through the development of an open-source Python library known as “snnTorch.” Over the past four years, the team’s Python library, “snnTorch,” has gained significant traction, boasting over 100,000 downloads.

Neural Network 95

Neural Network Deep Learning Python Artificial Intelligence 95

AssemblyAI

NOVEMBER 24, 2023

Discover how to use the new  `input_text`  parameter in our  docs , or look at the  code example in our Python SDK.   Try it here>> Fresh From Our Blog How to Get YouTube Video Transcripts : Learn how to get the transcript of a YouTube video with this easy-to-follow Python tutorial.

Python 147

Python OpenAI Generative AI AI 147

AssemblyAI

AUGUST 31, 2023

Getting started To follow along with this tutorial, you must have: Python installed pip installed Git installed An AssemblyAI account First, clone the repo : git clone [link] cd lemur-lecture-summarizer Now, create a virtual environment for the project. On MacOS/Linux, run python -m venv venv # you may need to use `python3` instead source./venv/bin/activate

Python 173

Python Large Language Models Generative AI AI 173

Towards AI

JANUARY 31, 2024

GPT-4 no-code prompting for rapid data visualization reporting As a computer science professor of 20+ years, I have oodles of experience in coding Python for data visualizations. Let’s start this process by downloading an interesting data set. Now GPT-4 cannot download data files for us, at least not as of today.

Data Analysis 100

Data Analysis LLM Python AI 100

Pickl AI

OCTOBER 26, 2023

The following are necessary steps to use ChatGPT APIs in Python: configure your Python environment, get an API key from OpenAI, write Python code to create API calls, and modify the results to fit the needs of your application. Use natural language processing to its maximum ability to improve your projects.

Python 52

Python ChatGPT Natural Language Processing OpenAI 52

Artificial Corner

MARCH 18, 2024

Code interpreter (aka "Analysis") is a feature of ChatGPT that allows users to upload data, write/execute Python code, do data analysis, generate reports, and even download the code and reports generated in.ipynb and pdf format respectively. The best part? All this is done in seconds.

ChatGPT 98

ChatGPT Data Analysis Python 98

Mlearning.ai

JULY 4, 2023

In this article I will show you how to run a version of the Vicuna model in WSL2 with GPU acceleration and prompt the model from Python via an API. The CUDA toolkit can be downloaded from the NVidia website. venv Using python venv is a personal preference — I like how lightweight it is. Simply run python download-model.py

LLM 98

LLM Auto-complete Python ML 98

Towards AI

FEBRUARY 1, 2024

Please feel free to download the dataset from this link: U.S. The change of direction in the data for a sustained period can be called a trend. It will be clearer with the examples below. To demonstrate the trend, we will use Pollution US 2000 to 2016 data from Kaggle. csv') This dataset is pritty big.

Python 97

Python AI AI Data Science 97

Marktechpost

AUGUST 19, 2023

Chroma can be used to create word embeddings using Python or JavaScript programming. Depending on the situation, this embedding function may require the automatic download of model files and run locally on the PC. To transform big data analytics, this architecture generates highly scalable, efficient solutions for data-heavy sectors.

Metadata 83

Metadata LLM Python Big Data 83

AWS Machine Learning Blog

MARCH 8, 2023

This post shows a way to do this using Snowflake as the data source and by downloading the data directly from Snowflake into a SageMaker Training job instance. We create a custom training container that downloads data directly from the Snowflake table into the training instance rather than first downloading the data into an S3 bucket.

ML 105

ML Python Machine Learning Neural Network 105

Analytics Vidhya

APRIL 1, 2023

Introduction The current trend in NLP includes downloading and fine-tuning pre-trained models with millions or even billions of parameters. However, storing and sharing such large trained models is time-consuming, slow, and expensive.

NLP 281

NLP Deep Learning Python 281

Towards AI

MAY 3, 2024

In recent years, with the advent of advanced machine learning techniques, Python libraries like PMDARIMA have gained popularity for their effectiveness in time series analysis and forecasting. The ability to forecast future price movements helps in making informed investment decisions and mitigating risks.

Python 54

Python Automation Machine Learning AI 54

Artificial Corner

FEBRUARY 8, 2024

If you know the basics of Python and want to acquire this skill, you can redeem my Web Scraping Course in Python for free if you’re an annual paid subscriber here on Substack. To do so, first, you have to download its desktop app. Are no-code tools better than Python? That is true!

Python 104

Python Data Extraction ChatGPT Explainability 104

Viso.ai

APRIL 17, 2024

You can download the dataset from Kaggle. I hope you had a good read on the different techniques available in Python. The post Complete 2024 Guide to Feature Extraction in Python appeared first on viso.ai. These components are used to transform the high-dimensional data into a lower-dimensional space.

Python 52

Python Machine Learning NLP Computer Vision 52

Analytics Vidhya

MARCH 27, 2023

These plugins can be downloaded from the plugins store and are presently only available to a select group of users. The introduction of ChatGPT modules by Open AI is intended to improve the user experience. Users of ChatGPT can anticipate increased convenience as a result of the launch of these plugins.

ChatGPT 254

ChatGPT AI AI Data Analysis 254

Mlearning.ai

FEBRUARY 4, 2023

TL;DR Structuring Python projects is very important for proper internal working, as well as for distribution to other users in the form of packages. There are two main general structures: the flat layout vs the src layout as clearly explained in the official Python packaging guide here. Package your project source code folder.

Python 52

Python Metadata Explainability Data Science 52

Towards AI

FEBRUARY 20, 2024

Streamlit is an open-source app framework for Python. The best part — it’s compatible with several well-known and liked Python libraries. Installing Streamlit Now to download Streamlit, you’re going to make sure you have the following things prepped. Numpy, Pandas, Pytorch, Matplotlib, Sci-kit, etc.

Machine Learning 108

Machine Learning Python AI AI 108

Towards AI

FEBRUARY 27, 2024

Let’s get started to get started, you do need to download a couple of different Python libraries, namely langchain_community, langchain-openai, langchain_core, LangGraph, and streamlit if you haven’t already done so… Read the full blog for free on Medium.

Chatbots 95

Chatbots OpenAI Python AI 95

AWS Machine Learning Blog

SEPTEMBER 20, 2023

Finally, we deploy the ONNX model along with a custom inference code written in Python to Azure Functions using the Azure CLI. We use a SageMaker Studio notebook along with the SageMaker Python SDK to build and train our model. The SageMaker Python SDK is an open-source library for training and deploying ML models on SageMaker.

ML 99

ML Python Deep Learning Machine Learning 99

AWS Machine Learning Blog

FEBRUARY 20, 2024

Download the model and its components WhisperX is a system that includes multiple models for transcription, forced alignment, and diarization. For smooth SageMaker operation without the need to fetch model artifacts during inference, it’s essential to pre-download all model artifacts. __dict__[WAV2VEC2_MODEL].get_model(dl_kwargs={"model_dir":

Metadata 95

Metadata Auto-complete Machine Learning Deep Learning 95

AWS Machine Learning Blog

MAY 15, 2024

python wheels and conda-1.17.0 The script downloads the models, exports them to ONNX format, quantizes them into int8 for int8 inference, and runs inference for different sequence lengths and batch sizes. Enable the optimizations The optimizations are part of the ONNX Runtime 1.17.0 with the red dotted line in the following graph.

NLP 89

NLP BERT Natural Language Processing Software Development 89

Pragnakalp

MAY 4, 2024

python manage.py file of your project: from django.urls import path, include path('accounts/', include('allauth.urls')), Execute the following command to generate your database tables, create a superuser account, and gain access to the admin panel: python manage.py migrate python manage.py Create a urls.py

Python 52

Python Natural Language Processing NLP Chatbots 52