PeterWang512's Stars
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
google-deepmind/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
NVIDIA/warp
A Python framework for high performance GPU simulation and graphics
lllyasviel/Paints-UNDO
Understand Human Behavior to Align True Needs
PixArt-alpha/PixArt-alpha
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
buaacyw/MeshAnything
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
zou-group/textgrad
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
dora-rs/dora
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
dvlab-research/ControlNeXt
Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA
tianweiy/DMD2
(NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis
NVlabs/edm2
EDM2 and Autoguidance -- Official PyTorch implementation
geng-haoran/Simulately
A universal summary of current robotics simulators
huggingface/hf_transfer
liaopeiyuan/artbench
Benchmarking Generative Models with Artworks
keraJLi/rejax
phys-sim-book/solid-sim-tutorial
A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and understanding.
minyoungg/vqtorch
pomonam/kronfluence
Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
songweige/content-debiased-fvd
[CVPR 2024] On the Content Bias in Fréchet Video Distance
logix-project/logix
AI Logging for Interpretability and Explainability🔬
franciscoliu/Awesome-GenAI-Unlearning
PairCustomization/PairCustomization
iancovert/shapley-regression
For calculating Shapley values via linear regression.
OPTML-Group/Unlearn-Sparse
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
minyoungg/LTE
bdaiinstitute/detic-sam
Detic + SAM for open-vocabulary object detection and segmentation.