- `galore/kernels` - `triton` kernels that fuse various steps of the `GaLore` algorithm - `galore/docs` - implementation notes and discussion of issues faced in kernel design. - [`quant_llm`](quant_llm) - FP16 x FPx mixed matmul kernel per [FP6-LLM](https://arxiv.org/abs/2401.141...
Algorithm developmentComputer simulationsReconstruction algorithmsArtificial intelligenceBridgesPrototypingStandards developmentWe present FitAO, which is an open-source Python-based concept platform for algorithmic development in adaptive optics (AO). Control and reconstruction algorithms designed on FitAO can be ...
2.InstantiateMyProblemclass and a derivative class inherited fromAlgorithmclass in a Python script file "main.py" then execute it.For example, trying to find the pareto front ofDTLZ1, do as the following: """main.py"""importgeatpyasea# Import geatpyfromMyProblemimportMyProblem# Import MyProbl...
Finally, a Proximal Policy Optimization Algorithm15 was initialized with the fine-tuned model from step 1 and optimized using the reward model. It appears firm at the moment that these novel tools will find their way into medical writing.15 Quality of AI generated reports and their evaluation ...
The best example we have combining the composability of lower bit dtype with compile and fsdp is NF4 which we used to implement the QLoRA algorithm. So if you're doing research at the intersection of this area we'd love to hear from you. Custom Kernels We've added support for authoring...
1000- deep-dream-in-pytorch: Pytorch implementation of the DeepDream computer vision algorithm. 1000- pytorch-flows: PyTorch implementations of algorithms for density estimation 1000- quantile-regression-dqn-pytorch: Quantile Regression DQN a Minimal Working Example 1000- relational-rnn-pytorch: An implem...
Introduction to Mobile Robotics: Iterative Closest Point Algorithm FastSLAM 1.0 This is a feature based SLAM example using FastSLAM 1.0. The blue line is ground truth, the black line is dead reckoning, the red line is the estimated trajectory with FastSLAM. The red points are particles of Fast...
If it were easy to publish and share your data, and the code you used to evaluate your algorithm's performance on that data, and possibly the algorithm itself, others could directly compare their approach to yours, using the same test data and the same evaluation metrics. With this site ...
LZ4 - Extremely Fast Compression algorithm. [BSD] website LZFSE - LZFSE compression library and command line tool. Developed by Apple. LZHAM - Lossless data compression library with a compression ratio similar to LZMA but with much faster decompression. [BSD] LZMA ⚡ - The default and general...
The parsimonization algorithm discounts terms that are already well explained by the background model, until the most wayward terms come out on top. See the Changelog for an overview of the most important changes. References D. Hiemstra, S. Robertson, and H. Zaragoza (2004). Parsimonious ...