Pinned Repositories
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-xray
Experiments in reverse engineering generative AI mechanics
mixbag
mix of utilities for general puprose data processing
model_filter_tool
ML utility to analyze and filter a model weights from command line
pc3
Tool to visualize/debug data streams from depth sensors samples
tera-points
Research into billion/trillion point renderer
alicata's Repositories
alicata/diffusion-xray
Experiments in reverse engineering generative AI mechanics
alicata/mixbag
mix of utilities for general puprose data processing
alicata/build-debug
alicata/compute_rasterizer_st
Rendering Point Clouds with Compute Shaders
alicata/CPUControlNet
ControlNet fork hacked to work on CPU
alicata/Custom-Optimizer-on-Keras
Custom Optimizer on Keras
alicata/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.
alicata/model_filter_tool
ML utility to analyze and filter a model weights from command line
alicata/pc3
Tool to visualize/debug data streams from depth sensors samples
alicata/tera-points
Research into billion/trillion point renderer
alicata/diffusion-fast
Faster generation with text-to-image diffusion models.
alicata/esp-idf
Espressif IoT Development Framework. Official development framework for Espressif SoCs.
alicata/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.
alicata/LightGlue
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
alicata/lightning-pose
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
alicata/Livox-SDK
Drivers for receiving LiDAR data and more
alicata/llm-dolomite-base
Baselines for LLM models finetuning
alicata/minDiffusion
Self-contained, minimalistic implementation of diffusion models with Pytorch.
alicata/o3d
Experiments with 3D Point Cloud DL
alicata/pyspark_aiuto
alicata/r3d-2001
Recovery 3D: a tool for mesh reconstruction from point sets and tetrahedral surface decomposition
alicata/RetNet
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"
alicata/sweepnet
Changhee Won, Jongbin Ryu and Jongwoo Lim "SweepNet: Wide-baseline Omnidirectional Depth Estimation", in ICRA 2019
alicata/testrepo
test repo