lweitkamp

lweitkamp's Stars

• richzhang/PerceptualSimilarity

  LPIPS metric. pip install lpips

  Language:Python3.6k498

• lucidrains/vector-quantize-pytorch

  Vector (and Scalar) Quantization, in Pytorch

  Language:Python2.4k196

• google/grain

  Language:Python25617

• somaniarushi/code_mcts

  👩🏻‍💻 LLM + MCTS for Humaneval

  Language:Jupyter Notebook7

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  28.3k1.5k

• google-deepmind/nanodo

  Language:Python1808

• cuda-mode/triton-index

  Cataloging released Triton kernels.

  1105

• srush/Triton-Puzzles

  Puzzles for learning Triton

  Language:Jupyter Notebook96662

• microsoft/mscclpp

  MSCCL++: A GPU-driven communication stack for scalable AI applications

  Language:C++23332

• Deep-Learning-Profiling-Tools/triton-viz

  Language:Python1246

• nod-ai/techtalks

  16

• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Language:Python8.4k587

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++12.7k1.5k

• Cjkkkk/CUDA_gemm

  A simple high performance CUDA GEMM implementation.

  Language:Cuda32036

• forhaoliu/ringattention

  Transformers with Arbitrarily Large Context

  Language:Python61348

• beartype/beartype

  Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

  Language:Python2.6k55

• siboehm/ShallowSpeed

  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

  Language:Python884

• lucidrains/autoregressive-linear-attention-cuda

  CUDA implementation of autoregressive linear attention, with all the latest research findings

  Language:Python433

• olcf/cuda-training-series

  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

  Language:Cuda542213

• wangzyon/NVIDIA_SGEMM_PRACTICE

  Step-by-step optimization of CUDA SGEMM

  Language:Cuda20833

• dqxiu/ICL_PaperList

  Paper List for In-context Learning 🌷

  78558

• KernelTuner/kernel_tuner_tutorial

  A hands-on introduction to tuning GPU kernels using Kernel Tuner https://github.com/KernelTuner/kernel_tuner/

  Language:Jupyter Notebook252

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.4k2.2k

• lucidrains/medical-chatgpt

  Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis

  Language:Python31333

• infocusp/diffusion_models

  Minimal standalone example of diffusion model

  Language:Jupyter Notebook15415

• ElisevanderPol/PRAE

  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

  Language:Jupyter Notebook26