Integrate cutting-edge LLM technology quickly and easily into your apps
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
- cuda
- hgemm
- cuda-kernels
- cuda-toolkit
A curated list of resources for Image and Video Deblurring
- image-deblurring
- video-deblurring
- image-deconvolution
- stereo-deblurring
Interactive Go programming with Jupyter
- go
- golang
- jupyter-notebook-kernel
- jupyter-notebook
ILGPU JIT Compiler for high-performance .Net GPU programs
An OCaml kernel for Jupyter (IPython) notebook
- ocaml
- functional-programming
- jupyter-kernels
- machine-learning
Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
SIMT Abstractions for Runtime Extensible Kernels (GPGPU programing with OCaml)
- spoc
- ocaml
- opencl
- cuda
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning