ldyang694 Goto Github PK

3doodle

Official implementation of 3Doodle: Compact Abstraction of Objects with 3D Strokes (SIGGRAPH 24')

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

diffusers_jittor

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffvg

Differentiable Vector Graphics Rasterization

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

guided-diffusion

hexo-generator-index-pin-top-order

Index generator plugin for Hexo. Pin top version and sort order add

instant-nsr-pl

Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

jnerf

JNeRF is a NeRF benchmark based on Jittor. JNeRF re-implemented instant-ngp and achieved same performance with original paper.

jtorch

ldyang694.github.io

merf

merf code fork from gooogle-research

nerfacc

A General NeRF Acceleration Toolbox in PyTorch.

point-e

Point cloud diffusion for 3D model synthesis

pytorch_diffusion

PyTorch reimplementation of Diffusion Models

rfreertos

segnext

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

snerg

transformers-jittor

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers_jittor

Forked from huggingface/transformers and Adapt to jittor

var

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"