DNN-decompiler
function-identification
| DNN-decompiler | function-identification | |
|---|---|---|
| 4 | 35 | |
| 180 | 135 | |
| - | - | |
| 0.8 | 10.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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DNN-decompiler
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Optimizing ML to run on the edge? [D]
Check out BTD, which targets "eight versions of three production DL compil- ers, TVM [22], Glow [85], NNFusion [64], which are de- veloped by Amazon, Facebook, and Microsoft, respectively." From there you can understand the internals of DL compilers.
- Decompiling x86 Deep Neural Network Executables
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?
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
ds2 - Easiest way to use AI models without coding (Web UI & API support)
binsync - A reversing plugin for cross-decompiler collaboration, built on git.
predictive-spy - Spying on Apple’s new predictive text model
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]
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.
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