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Top 23 neural-network Open-Source Projects
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InfluxDB
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SaaSHub
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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
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# 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.
They're data-dependence graphs for a neural-network scheduling problem. Like this but way bigger to start with and then lowered to more detailed representations several times: https://netron.app/?url=https://github.com/onnx/models/raw/m... My home-grown layout engine can handle the 12k nodes for llama2 in its highest-level form in 20s or so, but its not the most featureful, and they only get bigger from there. So I always have an eye out for potential tools.
- https://github.com/ChristosChristofidis/awesome-deep-learnin...
I'll make another comment if I find anymore in my bookmarks. I'm also an educator.
Click to Learn more...
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
Project mention: JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024 | dev.to | 2024-04-09TensorFlow.js
Project mention: Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain | dev.to | 2024-05-02Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker.
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
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
neural-network related posts
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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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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
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Clasificador de imágenes con una red neuronal convolucional (CNN)
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A note from our sponsor - InfluxDB
www.influxdata.com | 12 May 2024
Index
What are some of the best open-source neural-network projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 182,693 |
| 2 | Pytorch | 78,205 |
| 3 | spaCy | 28,789 |
| 4 | AI-Expert-Roadmap | 28,486 |
| 5 | netron | 26,256 |
| 6 | handson-ml | 25,094 |
| 7 | awesome-deep-learning | 22,895 |
| 8 | PaddlePaddle | 21,642 |
| 9 | darknet | 21,470 |
| 10 | ncnn | 19,310 |
| 11 | tfjs | 18,151 |
| 12 | qdrant | 18,036 |
| 13 | CNTK | 17,435 |
| 14 | instant-ngp | 15,418 |
| 15 | gensim | 15,273 |
| 16 | Awesome-pytorch-list | 14,985 |
| 17 | Machine-Learning-Tutorials | 14,889 |
| 18 | Brain.js | 14,199 |
| 19 | ivy | 14,025 |
| 20 | nni | 13,777 |
| 21 | mit-deep-learning-book-pdf | 12,342 |
| 22 | python-machine-learning-book | 12,076 |
| 23 | MidJourney-Styles-and-Keywords-Reference | 11,676 |
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