newscatcher
examples
newscatcher | examples | |
---|---|---|
20 | 143 | |
2,895 | 7,754 | |
- | 0.7% | |
0.0 | 5.3 | |
over 3 years ago | about 1 month ago | |
Python | Jupyter Notebook | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
newscatcher
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newscatcher VS python-client - a user suggested alternative
2 projects | 9 Feb 2024
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Can anyone recommend a free News API for a portfolio project?
Built this news website for my portfolio using NewsApi.org but turns out its only got CORS enabled for localhost which I found out when I was about to publish my web page. Found and tried another API from newscatcherapi.com but it only gives me 50 API calls for the free plan which I ran out of very quickly.
- Show HN: I created a feed of interesting content for myself
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News algorithm project-Help needed
I think you would benefit from a news data API like our newscatcher. We don't drill down to the state level (yet) but we do allow you to filter news by country, language, individual sources, date ranges, and you can also use a query like "fire" to search for relevant articles. And the data is returned as JSON objects, so it's pretty easy to work with.
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Show HN: Stock research website with next-gen alternative data
Hi Jakub,
Nice. I want to talk to you about the news feed: it could be more than just the latest news (NLP enriched)
I'm a co-founder of https://newscatcherapi.com/
I'm so sick of top notch trading platforms to just provide a list of latest news while there could be so much more insights.
Well, if you'd want to discuss it: https://savvycal.com/newscatcher/chat
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What are the best news APIs in the market?
If all you care about is raw data, newscatcherapi.com is one of the best options. They already have over 60,0000 sources and readily add any sources you want to cover.
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Ask HN: Have you applied to YC S22?
Share your startups here, and get some feedback from the HN community.
For the first time applicants: show your progress for the next batch in case you don't get accepted.
Startup: NewsCatcher
Website: https://newscatcherapi.com/
One-liner: We turn online news into machine-readable data
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Top 15 News APIs In The Market In 2022 For You
The Newscatcher API enables developers to find news articles from major news sources and blogs based on any topic, country, language, website, or keyword. The Newscatcher API features simple integration and niche-specific content.
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Looking for an Company News api
Give newscatcher a try
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Ask HN: What made your business take off that you wish you'd done much earlier?
We’re ~17k MRR right now. Being doing it for almost 2 years.
What made us take off is I and my cofounder running through our savings. I did it for ~15 months.
One thing I had to start doing earlier is not trying to get everyone buy our product (we sell news articles published online as a source of data for insight mining) [0]
I’ve lost so much time on people who’d never be able to use what we have unless we completely change our product.
And yeah, marketing is super important. And, it’s going to take some time.
[0] https://newscatcherapi.com
examples
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
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Best AI Tools for Students Learning Development and Engineering
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
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Releasing The Force Of Machine Learning: A Novice’s Guide 😃
TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.
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MLOps in practice: building and deploying a machine learning app
The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.
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🔥14 Excellent Open-source Projects for Developers😎
10. TensorFlow - Make Machine Learning Work for You 🤖
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GPU Survival Toolkit for the AI age: The bare minimum every developer must know
AI models, particularly those built on deep learning frameworks like TensorFlow, exhibit a high degree of parallelism. Neural network training involves numerous matrix operations, and GPUs, with their expansive core count, excel in parallelizing these operations. TensorFlow, along with other popular deep learning frameworks, optimizes to leverage GPU power for accelerating model training and inference.
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
#2 TensorFlow
- Are there people out there who still like Sam atlman - AI IS AT DANGER
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Tensorflow help
I am on a new ftc team trying to get vision to work. I used the ftc machine learning tool chain but I have yet to get a good result with at best a 10% accuracy rate. I have changed everything possible in the tool chain with little luck. To fix this, I have tried making my own .tflite model using the google colab from https://www.tensorflow.org/. When ever I try to run the same code with my own .tflite model, it gives me the error "User code threw an uncaught exception: IllegalStateException - Error getting native address of native library: task_vision_jni". It gives me the same error with official tensor flow tflite test models, and when I put them on a raspberry pi, both worked just fine. Does anyone have a fix to this error or even just tips for the machine learning toolchain?
What are some alternatives?
pygooglenews - If Google News had a Python library
cppflow - Run TensorFlow models in C++ without installation and without Bazel
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
mlpack - mlpack: a fast, header-only C++ machine learning library
RVS_Spinner - A Fancy "Popup Prize-Wheel Spinner" UIControl
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
quickstart-android - Firebase Quickstart Samples for Android
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
CX_DB8 - a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Selenium WebDriver - A browser automation framework and ecosystem.
pyWhat - 🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing