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Top 23 neural-network Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
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darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
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ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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MidJourney-Styles-and-Keywords-Reference
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
# L2-normalize the encoding tensors image_encoding = tf.math.l2_normalize(image_encoding, axis=1) audio_encoding = tf.math.l2_normalize(audio_encoding, axis=1) # Find euclidean distance between image_encoding and audio_encoding # Essentially trying to detect if the face is saying the audio # Will return nan without the 1e-12 offset due to https://github.com/tensorflow/tensorflow/issues/12071 d = tf.norm((image_encoding - audio_encoding) + 1e-12, ord='euclidean', axis=1, keepdims=True) discriminator = keras.Model(inputs=[image_input, audio_input], outputs=[d], name="discriminator")
Project mention: PyTorch 2.3: User-Defined Triton Kernels, Tensor Parallelism in Distributed | news.ycombinator.com | 2024-05-10
Project mention: How I discovered Named Entity Recognition while trying to remove gibberish from a string. | dev.to | 2024-05-06
**[I.am.ai AI Expert Roadmap](https://i.am.ai/roadmap)**: This roadmap focuses more on AI and includes various aspects of machine learning and deep learning. It's suitable for those who want to delve deeper into AI, particularly in cutting-edge research and applications.
- https://github.com/ChristosChristofidis/awesome-deep-learnin...
I'll make another comment if I find anymore in my bookmarks. I'm also an educator.
Project mention: AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source | news.ycombinator.com | 2024-02-12ncnn uses Vulkan for GPU acceleration, I've seen it used in a few projects to get AMD hardware support.
https://github.com/Tencent/ncnn
JavaScript is everywhere. Not only is JavaScript on every layer of the tech stack (frontend/middleware/backend), but you can also find JavaScript in every software domain. No matter if you want to do command-line tools, creative coding, or machine learning, you can do it in JavaScript. Because JavaScript is so ubiquitous, as a developer it’s the best career choice you can make.
Project mention: How to Build a Chat App with Your Postgres Data using Agent Cloud | dev.to | 2024-05-13AgentCloud uses Qdrant as the vector store to efficiently store and manage large sets of vector embeddings. For a given user query the RAG application fetches relevant documents from vector store by analyzing how similar their vector representation is compared to the query vector.
Project mention: JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024 | dev.to | 2024-04-09Brain.js
See also https://github.com/unifyai/ivy which I have not tried but seems along the lines of what you are describing, working with all the major frameworks
The best way is just play around and try stuff out. Start with really simple, clear prompts. Then add in keywords to get specific styles or content: there is a huge guide here https://github.com/willwulfken/MidJourney-Styles-and-Keywords-Reference/blob/main/README.md
neural-network related posts
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Google Edge AI Model Explorer
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How to Build a Chat App with Your Postgres Data using Agent Cloud
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PyTorch 2.3: User-Defined Triton Kernels, Tensor Parallelism in Distributed
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Your 14-Day Free Trial Ain't Gonna Cut It
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Intel Arc A770: Arrays larger than 4GB crashes
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PennyLane: Python library for differentiable programming of quantum computers
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KNN with PHP ML & Rubix ML
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A note from our sponsor - InfluxDB
www.influxdata.com | 20 May 2024
Index
What are some of the best open-source neural-network projects? This list will help you:
Project | Stars | |
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1 | tensorflow | 182,857 |
2 | Pytorch | 78,642 |
3 | spaCy | 28,887 |
4 | AI-Expert-Roadmap | 28,527 |
5 | netron | 26,355 |
6 | handson-ml | 25,099 |
7 | awesome-deep-learning | 22,992 |
8 | PaddlePaddle | 21,656 |
9 | darknet | 21,477 |
10 | ncnn | 19,352 |
11 | tfjs | 18,174 |
12 | qdrant | 18,219 |
13 | CNTK | 17,435 |
14 | instant-ngp | 15,442 |
15 | gensim | 15,289 |
16 | Awesome-pytorch-list | 15,000 |
17 | Machine-Learning-Tutorials | 14,912 |
18 | Brain.js | 14,198 |
19 | ivy | 14,024 |
20 | nni | 13,797 |
21 | mit-deep-learning-book-pdf | 12,378 |
22 | python-machine-learning-book | 12,076 |
23 | MidJourney-Styles-and-Keywords-Reference | 11,702 |
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