Hacker News
- JITing Algorithms and Data Structures with LLVM https://blog.christianperone.com/2009/11/a-method-for-jiting-algorithms-and-data-structures-with-llvm/ 2 comments
- A sane introduction to maximum likelihood estimation and maximum a posteriori http://blog.christianperone.com/2019/01/a-sane-introduction-to-maximum-likelihood-estimation-mle-and-maximum-a-posteriori-map/ 18 comments
- PyTorch – Internal Architecture Tour http://blog.christianperone.com/2018/03/pytorch-internal-architecture-tour/ 22 comments
- Privacy-preserving sentence semantic similarity http://blog.christianperone.com/2018/01/privacy-preserving-infersent/?k=2 5 comments
- Riemann Zeta function visualizations with Python http://blog.christianperone.com/2010/02/riemann-zeta-function-visualizations-with-python/ 7 comments
- JIT native code generation for TensorFlow graphs using Python and LLVM http://blog.christianperone.com/2016/08/jit-native-code-generation-for-tensorflow-computation-graphs-using-python-and-llvm/ 19 comments
- Voynich Manuscript: word vectors and t-SNE visualization of some patterns http://blog.christianperone.com/2016/01/voynich-manuscript-word-vectors-and-t-sne-visualization-of-some-patterns/?a=b 29 comments
- Convolutional neural networks and feature extraction with Python http://blog.christianperone.com/2015/08/convolutional-neural-networks-and-feature-extraction-with-python/ 2 comments
- Google’s S2, geometry on the sphere, cells and Hilbert curve http://blog.christianperone.com/?a=2&p=2840 29 comments
- Real-time Drone object tracking using Python and OpenCV http://blog.christianperone.com/?p=2768 24 comments
Lobsters
- Gandiva, using LLVM and Arrow to JIT and evaluate Pandas expressions http://blog.christianperone.com/2020/01/gandiva-using-llvm-and-arrow-to-jit-and-evaluate-pandas-expressions/ 2 comments compilers , python
- [P] PyTorch 2 Internals https://blog.christianperone.com/2023/12/pytorch-2-internals-talk/ 10 comments machinelearning
- [D] Appreciating the complexity of large language models data pipelines https://blog.christianperone.com/2023/06/appreciating-llms-data-pipelines/ 5 comments machinelearning
- [P] Tutorial on using LLVM to JIT PyTorch graphs to native code (x86/arm/RISC-V) https://blog.christianperone.com/2022/09/tutorial-on-using-llvm-to-jit-pytorch-fx-graphs-to-native-code-x86-arm-risc-v-wasm-part-i-scalars/ 5 comments machinelearning
- Gandiva, using LLVM and Arrow to JIT and evaluate Pandas expressions http://blog.christianperone.com/2020/01/gandiva-using-llvm-and-arrow-to-jit-and-evaluate-pandas-expressions/ 5 comments programming
- A sane introduction to maximum likelihood estimation (MLE) and maximum a posteriori (MAP) http://blog.christianperone.com/2019/01/a-sane-introduction-to-maximum-likelihood-estimation-mle-and-maximum-a-posteriori-map/ 5 comments learnmachinelearning
- Google’s S2, geometry on the sphere, cells and Hilbert curve http://blog.christianperone.com/?p=2840 8 comments programming