jhonykaesemodel

jhonykaesemodel's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook70.1k57472210.4k

• invoke-ai/InvokeAI

  Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.

  Language:TypeScript24.7k2073.3k2.5k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX23k2251242.9k

• ssloy/tinyrenderer

  A brief computer graphics / rendering course

  Language:C++21.5k4151352.1k

• catchorg/Catch2

  A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

  Language:C++19.2k4421.9k3.1k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.9k4857832.5k

• bloomberg/memray

  Memray is a memory profiler for Python

  Language:Python13.8k59209401

• visgl/deck.gl

  WebGL2 powered visualization framework

  Language:TypeScript12.6k1.7k3.1k2.1k

• plasma-umass/scalene

  Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  Language:Python12.5k89482406

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python10k1181.7k1.4k

• bootandy/dust

  A more intuitive version of du in rust

  Language:Rust9.5k35210210

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.4k300101.5k

• google/latexify_py

  A library to generate LaTeX expression from Python code.

  Language:Python7.5k5685393

• wookayin/gpustat

  📊 A simple command-line utility for querying and monitoring GPU status

  Language:Python4.2k43124286

• peak/s5cmd

  Parallel S3 and local filesystem execution tool.

  Language:Go2.9k32398256

• samoshkin/tmux-config

  Tmux configuration, that supercharges your tmux to build cozy and cool terminal environment

  Language:Shell2.2k4145512

• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Language:Python2.1k3882231

• facebookresearch/multimodal

  TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

  Language:Python1.6k2040151

• google-deepmind/educational

  Language:Jupyter Notebook1.4k514194

• anishathalye/dotfiles

  ~anish • powered by https://github.com/anishathalye/dotbot 💾

  Language:Shell7191410275

• Kitware/trame

  Trame lets you weave various components and technologies into a Web Application solely written in Python.

  Language:Python509178666

• gangweix/ACVNet

  [TPAMI 2024 & CVPR 2022] Attention Concatenation Volume for Accurate and Efficient Stereo Matching

  Language:Python453243863

• argoverse/av2-api

  Argoverse 2: Next generation datasets for self-driving perception and forecasting.

  Language:Python3541117282

• zjjMaiMai/TinyHITNet

  HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

  Language:Python15722721

• fwilliams/scalable-pytorch-sinkhorn

  Language:Python148557

• xy-guo/Learning-Monocular-Depth-by-Stereo

  Learning Monocular Depth by Distilling Cross-domain Stereo Networks, ECCV18

  Language:Python955158

• ibaiGorordo/ONNX-HITNET-Stereo-Depth-estimation

  Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

  Language:Python54456

• benjaminrwilson/torchbox3d

  3D Perception toolbox.

  Language:Python16222

• mtli/DLGPUBench

  Code for Deep Learning GPU Benchmark: A Latency-Based Approach :watch:

  Language:Python13111

• ibaiGorordo/ONNX-ACVNet-Stereo-Depth-Estimation

  About Python scripts form performing stereo depth estimation using the ACVNet model in ONNX.

  Language:Python12302