prajnan93

ml-pointconvformer

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

deis

[ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator

ZSSR

"Zero-Shot" Super-Resolution using Deep Internal Learning

OmniControl

OmniControl: Control Any Joint at Any Time for Human Motion Generation, ICLR 2024

generative-models

Generative Models by Stability AI

VideoCrafter

VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

sinfusion-code

UnityGaussianSplatting

Toy Gaussian Splatting visualization in Unity

splat

WebGL 3D Gaussian Splat Viewer

4DGaussians

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Dynamic3DGaussians

rerun

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

tinyraytracer

A brief computer graphics / rendering course

nerfstudio

A collaboration friendly studio for NeRFs

SportsSloMo

SportsSloMo: A New Benchmark and Baseline Models for Human-centric Video Frame Interpolation, CVPR 2024 (https://arxiv.org/abs/2308.16876)

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

netron

Visualizer for neural network, deep learning and machine learning models

MLOps-Basics

Grokking-System-Design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

erasing

Erasing Concepts from Diffusion Models

Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

StableStudio

Community interface for generative AI

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Algorithms

A collection of algorithms and data structures

deepsparse

Sparsity-aware deep learning inference runtime for CPUs

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

The-C-20-Masterclass-Source-Code

Source code for the C++ 20 Masterclass on udemy