salykova's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
meta-llama/llama3
The official Meta Llama 3 GitHub site
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
AnthonyCalandra/modern-cpp-features
A cheatsheet of modern C++ language and library features.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
naver/dust3r
DUSt3R: Geometric 3D Vision Made Easy
aimhubio/aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
NVIDIA/warp
A Python framework for high performance GPU simulation and graphics
gpu-mode/lectures
Material for gpu-mode lectures
pytorch/torchtitan
A native PyTorch Library for large model training
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
minar09/awesome-virtual-try-on
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
pytorch/executorch
On-device AI across mobile, embedded and edge for PyTorch
hbb1/2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
mint-lab/3dv_tutorial
An Invitation to 3D Vision: A Tutorial for Everyone
NX-AI/xlstm
Official repository of the xLSTM.
gpu-mode/resource-stream
GPU programming related news and material links
LTH14/mar
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
allenai/dolma
Data and tools for generating and inspecting OLMo pre-training data.
zju3dv/LoG
Level of Gaussians
tpoisonooo/how-to-optimize-gemm
row-major matmul optimization
turandai/gaussian_surfels
Implementation of the SIGGRAPH 2024 conference paper "High-quality Surface Reconstruction using Gaussian Surfels".
Kobzol/hardware-effects-gpu
Demonstration of various hardware effects on CUDA GPUs.
Maratyszcza/FP16
Conversion to/from half-precision floating point formats
Bruce-Lee-LY/cuda_hgemm
Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.
Yinghan-Li/YHs_Sample
Yinghan's Code Sample
pytorch-labs/float8_experimental
This repository contains the experimental PyTorch native float8 training UX
vdesai2014/inference-optimization-blog-post
Bruce-Lee-LY/cuda_hgemv
Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.