bombrake's Stars
dendibakh/perf-ninja
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
ziglang/zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
DefTruth/Awesome-LLM-Inference
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
OpenInterpreter/open-interpreter
A natural language interface for computers
VQAssessment/DOVER
[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.
LargeWorldModel/LWM
google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
charlax/professional-programming
A collection of learning resources for curious software engineers
WongKinYiu/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
google/gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models.
facebookresearch/pytorchvideo
A deep learning library for video understanding research.
triton-lang/triton
Development repository for the Triton language and compiler
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
rasbt/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
ravenscroftj/turbopilot
Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
UX-Decoder/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
inducer/pycuda
CUDA integration for Python, plus shiny features
numpy/numpy
The fundamental package for scientific computing with Python.
fbcotter/py3nvml
Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
jupyterlab/jupyterlab-desktop
JupyterLab desktop application, based on Electron.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Celebrandil/CudaSift
A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
swami1827/Data-Analytics-Projects
Projects in Analytics and ML
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
opencv/opencv-python
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.