google-research / project-guideline

Related projects: ⓘ

• eleboss / EBR
  Repo for event-based binary image reconstruction.
  ☆30Updated 6 months ago
• google-deepmind / compressed_vision
  ☆131Updated last year
• apple / ml-mofi
  ☆56Updated 6 months ago
• tatsu-lab / fast_imagenet_ffcv
  Fast ImageNet training code with FFCV
  ☆12Updated 2 years ago
• Divelix / samat
  SAM Annotaton Tool
  ☆27Updated 2 months ago
• ibaiGorordo / ONNX-NeuFlowV2-Optical-Flow
  Python scripts performing optical flow estimation using the NeuFlowV2 model in ONNX.
  ☆26Updated this week
• lightly-ai / labelformat
  A tool for converting computer vision label formats.
  ☆50Updated 9 months ago
• Netflix / videoannotator
  ☆38Updated 4 months ago
• roboflow / cvevals
  Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…
  ☆33Updated 11 months ago
• standard-ai / Standard-Sim
  ☆68Updated this week
• apple / ml-dr
  A light-weight implementation of ICCV2023 paper "Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Rei…
  ☆77Updated 11 months ago
• kornia / limbus
  Open Source async AI pipelines
  ☆28Updated last year
• sayakpaul / keras-xla-benchmarks
  Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
  ☆37Updated last year
• brilliantlabsAR / noa-playground
  Try out Noa without a Frame or Monocle
  ☆24Updated 2 weeks ago
• visual-layer / visuallayer
  Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …
  ☆65Updated 11 months ago
• KhawajaAbaid / micrograd_c
  Andrej Kapathy's micrograd implemented in c
  ☆26Updated last month
• autodistill / autodistill-grounded-edgesam
  EdgeSAM model for use with Autodistill.
  ☆24Updated 3 months ago
• kornia / tutorials
  Repository containing the Kornia related tutorials
  ☆44Updated last month
• AmeyaWagh / llama2.cpp
  Inference Llama 2 in C++
  ☆47Updated 4 months ago
• NVIDIA-AI-IOT / jetson-intro-to-distillation
  A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson
  ☆145Updated 10 months ago
• apple / ml-tic-clip
  Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".
  ☆90Updated 3 months ago
• roboflow / inference-client
  ☆13Updated 9 months ago
• sytelus / pcprep
  Scripts to prep PC for development use after OS installs
  ☆37Updated 3 weeks ago
• prs-eth / LoRA-Ensemble
  LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
  ☆35Updated 3 months ago
• PJaemin / MTFE
  Multiple Transformation Function Estimation for Image Enhancement
  ☆20Updated last year
• Nikunj-Gupta / Efficient_ResNets
  A Residual Network Design with less than 5 million trainable parameters achieving an accuracy of 96.04% on CIFAR-10.
  ☆26Updated last month
• google / attention-center
  ☆118Updated last year
• Chillee / llm.c
  LLM training in simple, raw C/CUDA
  ☆17Updated 4 months ago
• alenic / timm-models-explorer
  Timm model explorer
  ☆36Updated 5 months ago