- Ásgarðr
Lists (1)
Sort Name ascending (A-Z)
Stars
- All languages
- Assembly
- C
- C#
- C++
- CSS
- Cuda
- Dockerfile
- Fortran
- GAP
- Go
- HCL
- HTML
- Hack
- Java
- JavaScript
- Julia
- Jupyter Notebook
- LLVM
- M
- MATLAB
- Makefile
- Mathematica
- NewLisp
- OCaml
- Objective-C
- Perl
- Python
- R
- Roff
- Rust
- SCSS
- Sage
- Scala
- ShaderLab
- Shell
- SourcePawn
- Standard ML
- SystemVerilog
- TL-Verilog
- Tcl
- TeX
- TypeScript
- V
- VHDL
- Verilog
Notebooks about Bayesian methods for machine learning
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
Sionna: An Open-Source Library for Research on Communication Systems
Machine learning for transportation data imputation and prediction.
Experimental code to read/write NumPy .NPY files in MATLAB
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Tutorial notebooks for hls4ml
experiments with python
Stanford Machine Learning course exercises implemented with scikit-learn
ADC Performance Survey (ISSCC & VLSI Circuit Symposium)
Pytorch implementation of GRU-ODE-Bayes
The boundary of neural network trainability is fractal
Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using ipex-llm
VNx: Vitis Network Examples
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
Hard-sphere packing generation in C++ with the Lubachevsky–Stillinger, Jodrey–Tory, and force-biased algorithms and packing post-processing.
clustimage is a python package for unsupervised clustering of images.
Code for the intrinsic dimensionality estimate of data representations
On Deep Learning-based Channel Decoding
Clusteval provides methods for unsupervised cluster validation
Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.
Work being done on the DVB-receiver for Phase 4 Ground.
This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
Implementation of Complex Valued Neural Networks in Pytorch 🧠