sterngerlach

sterngerlach's Stars

• microsoft/MS-DOS

  The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

  Language:Assembly30.7k74604.4k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.7k2301372.6k

• muskie82/MonoGS

  [CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

  Language:Python1.3k17139113

• fastmachinelearning/hls4ml

  Machine learning on FPGAs using HLS

  Language:C++1.2k58406402

• Olde-Skuul/doom3do

  The complete archive for DOOM for the 3DO

  Language:C1.1k933126

• alexforencich/verilog-axis

  Verilog AXI stream components for FPGA implementation

  Language:Python7224723222

• XuyangBai/awesome-point-cloud-registration

  A curated list of point cloud registration.

  71227984

• vinits5/learning3d

  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

  Language:Python7041526104

• ipodtouch0218/NSMB-MarioVsLuigi

  Standalone Unity remake of New Super Mario Bros DS' multiplayer gamemode, "Mario vs Luigi"

  Language:C#66235134293

• Forceflow/libmorton

  C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates

  Language:C++590294070

• Pointcept/PointTransformerV2

  [NeurIPS'22] An official PyTorch implementation of PTv2.

  Language:Python348104723

• Xilinx/finn-hlslib

  Vitis HLS Library for FINN

  Language:C++174151965

• A-suozhang/awesome-quantization-and-fixed-point-training

  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

  15712024

• CMU-SAFARI/ramulator-pim

  A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

  Language:C++144122661

• horizon-research/PointCloud-pipeline

  Configurable point cloud registration pipeline.

  Language:C++928324

• Zuntan03/SdWebUiTutorial

  画像生成 AI ツールの Stable Diffusion web UI を、簡単に使えるようにする環境とチュートリアルです。

  Language:Batchfile73418

• dornik/reagent

  ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

  Language:Python552314

• PRBonn/DCPCR

  DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments

  Language:Python551117

• The-Learning-And-Vision-Atelier-LAVA/LLT

  [CVPR 2022] Learnable Lookup Table for Neural Network Quantization

  Language:Python39334

• SFU-HiAccel/uBench

  [FPGA'21] Microbenchmarks for Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers

  Language:C++29403

• fffasttime/AnyPackingNet

  Language:Python23401

• keio-smilab24/Polos

  [CVPR24 Highlights] Polos: Multimodal Metric Learning from Human Feedback for Image Captioning

  Language:Python23340

• ECASLab/cynq

  PYNQ bindings for C and C++ to avoid requiring Python or Vitis to execute hardware acceleration.

  Language:C++212112

• brigio345/DaCH

  DaCH: dataflow cache for high-level synthesis.

  Language:C++14205

• ribesstefano/Mapping-Multiple-LSTM-Models-on-FPGAs

  Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximation mechanism, as described in the paper Mapping multiple LSTM models on FPGAs.

  Language:Jupyter Notebook14213

• sebastianlipponer/zorder_knn

  Floating point morton order comparison operator.

  Language:C++10212

• op3/latex-pdfa-howto

  Create PDF/A compliant files from LaTeX

  Language:PostScript8202

• joaomiguelvieira/kNN-STUFF

  K-Nearest Neighbors STreaming Unit for FPGA

  Language:VHDL3325

• joaomiguelvieira/kNNSim

  Simulator to evaluate the performance of the KNN clustering algorithm in different platforms

  Language:C2

• RYUTO-KOJIMA/loam_velodyne_kittifilter

  Language:C++2