tud-ccc / compy-learnLinks
ComPy-Learn is a framework for exploring program representations for ML4CODE tasks.
☆22Updated 2 years ago
Alternatives and similar repositories for compy-learn
Users that are interested in compy-learn are comparing it to the libraries listed below
Sorting:
- Implementation of IR2Vec, LLVM IR Based Scalable Program Embeddings☆100Updated 8 months ago
- A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations☆320Updated last year
- SMTSampler: Efficient Stimulus Generation from Complex SMT Constraints☆31Updated 6 years ago
- Open source release from our ICLR 2020 paper, CLN2INV: Learning Loop Invariants with Continuous Logic Networks.☆21Updated 5 years ago
- 📝 "End-to-end Deep Learning of Optimization Heuristics" (🥇 PACT'17 Best Paper)☆72Updated 3 years ago
- ☆12Updated 3 years ago
- ☆35Updated 4 years ago
- SMT-LIB benchmarks for shape computations from deep learning models in PyTorch☆18Updated 3 years ago
- A tool for testing SMT solvers for incompleteness bugs☆17Updated 3 years ago
- GPU-enabled Hardware Fuzzer using Genetic Algorithm☆20Updated 2 years ago
- A translation validation framework for MLIR☆92Updated 10 months ago
- Neural Code Comprehension: A Learnable Representation of Code Semantics☆216Updated last year
- Code2Inv: Learning Loop Invariants for Program Verification☆103Updated 5 years ago
- MachSMT: An ML-Driven Algorithm Selection tool for SMT Solvers☆25Updated 2 years ago
- Random Generator of Btor2 Files☆10Updated 2 years ago
- Tzer: TVM Implementation of "Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation (OOPSLA'22)“.☆71Updated 2 years ago
- Utilities for constructing a large dataset of LLVM IR☆25Updated 8 months ago
- ☆14Updated 5 years ago
- Bᴛᴏʀ2MLIR: A Format and Toolchain for Hardware Verification☆20Updated 5 months ago
- LinearArbitrary-SeaHorn is a CHC solver for LLVM-based languages.☆22Updated 2 years ago
- A Parallel SAT Solver with GPU Accelerated Inprocessing☆138Updated 2 months ago
- ☆13Updated last year
- NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops…☆98Updated 3 years ago
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆32Updated 2 years ago
- Bit-bLAsting solving Non-linear integer constraints.☆22Updated 7 months ago
- ☆49Updated last year
- Automated DNN generation for fuzz testing and more☆143Updated last year
- Code released to accompany the ISCA paper: "T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware"☆28Updated 3 years ago
- ☆15Updated 3 years ago
- ELINA: ETH LIbrary for Numerical Analysis☆134Updated 2 years ago