ds2
function-identification
| ds2 | function-identification | |
|---|---|---|
| 5 | 35 | |
| 48 | 135 | |
| - | - | |
| 0.0 | 10.0 | |
| 3 months ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
ds2
- GitHub - DS2BRAIN/ds2: DS2 is the MLOps based Data science platform that automates machine learning pipelines and prescriptive analytics.
- GitHub - DS2BRAIN/ds2: DS2 - the MLOps based Data science platform that automates machine learning pipelines and prescriptive analytics.
- DS2 - the MLOps based Data science platform that automates machine learning pipelines and prescriptive analytics.
function-identification
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Convolutional Neural Network for Reverse Engineering
I created a project that uses machine learning for reverse engineering compiled binaries and identifing function boundaries: https://github.com/alonstern/function-identification.
- Implementing Convolutional Neural Network for Reverse Engineering
- Implementing Convolutional Neural Network for Reverse Engineering (r/MachineLearning)
- [P] Implementing Convolutional Neural Network for Reverse Engineering
- Convolutional Neural Network for Reverse Engineering. Interesting work
- GitHub - alonstern/function-identification: This project demonstrates how a convolutional neural network can be used to detect the boundaries of a function in compiled code
What are some alternatives?
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Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
autoembedder - PyTorch autoencoder with additional embeddings layer for categorical data 🚘
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
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only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.