alicata Goto Github PK

build-debug

compute_rasterizer_st

Rendering Point Clouds with Compute Shaders

cpucontrolnet

ControlNet fork hacked to work on CPU

custom-optimizer-on-keras

Custom Optimizer on Keras

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

diffusion-fast

Faster generation with text-to-image diffusion models.

diffusion-xray

Experiments in reverse engineering generative AI mechanics

esp-idf

Espressif IoT Development Framework. Official development framework for Espressif SoCs.

how-diffusion-models-work

In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

lightglue

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

lightning-pose

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

livox-sdk

Drivers for receiving LiDAR data and more

llm-dolomite-base

Baselines for LLM models finetuning

mindiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

mixbag

mix of utilities for general puprose data processing

model_filter_tool

ML utility to analyze and filter a model weights from command line

o3d

Experiments with 3D Point Cloud DL

pc3

Tool to visualize/debug data streams from depth sensors samples

pyspark_aiuto

r3d-2001

Recovery 3D: a tool for mesh reconstruction from point sets and tetrahedral surface decomposition

retnet

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

sweepnet

Changhee Won, Jongbin Ryu and Jongwoo Lim "SweepNet: Wide-baseline Omnidirectional Depth Estimation", in ICRA 2019

tera-points

Research into billion/trillion point renderer

testrepo

test repo