g-moschetti

flask

The Python micro framework for building web applications.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ControlNet

Let us control diffusion models!

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

modern-cpp-features

A cheatsheet of modern C++ language and library features.

nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

xonsh

:shell: Python-powered shell. Full-featured and cross-platform.

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

rerun

Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.

ConvNeXt

Code release for ConvNeXt model

composer

Supercharge Your Model Training

headshots-starter

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

transformer-quantization

differentiable_ransac

PyTorch Implementation of the ICCV 2023 paper: Generalized Differentiable RANSAC ($\nabla$-RANSAC).

RADIal

dysample

(ICCV'23) Learning to Upsample by Learning to Sample

maws

Code and models for the paper "The effectiveness of MAE pre-pretraining for billion-scale pretraining" https://arxiv.org/abs/2303.13496

RTCnet

RTCnet is a radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-level radar cube data.

micromind

A toolkit for tinyML research and deployment

DroidCalib

Oriented1D

Official code for ICCV 2023 paper "Convolutional Networks with Oriented 1D Kernels"

Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

PRANC

ZendarSDK

evol-q

Quantization in the Jagged Loss Landscape of Vision Transformers

batch-processing

A Python library to make batchable Python scripts.

unified-path

A Python wrapper around pathlib with OS-independent path representation.