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walker's Projects

cocoapi icon cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

ctgan icon ctgan

Conditional GAN for generating synthetic tabular data.

dalai icon dalai

The simplest way to run LLaMA on your local machine

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

diffmat icon diffmat

PyTorch-based differentiable material graph library for procedural material capture

diffproxy icon diffproxy

Code for the paper "Node Graph Optimization Using Differentiable Proxies"

distro icon distro

Torch installation in a self-contained folder

fast-poisson-image-editing icon fast-poisson-image-editing

A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

grounded-segment-anything icon grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect , Segment and Generate Anything with Image and Text Inputs

housegan icon housegan

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

llama icon llama

Inference code for LLaMA models

meshgpt-pytorch icon meshgpt-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

nvdiffrec icon nvdiffrec

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

pix2pix icon pix2pix

Image-to-image translation using conditional adversarial nets

places365 icon places365

The Places365-CNNs for Scene Classification

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration(0.4.x)

segment-anything icon 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.

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