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tianshou
An elegant PyTorch deep reinforcement learning library.zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflowprolificdreamer
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)unidiffuser
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"CRM
[ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.SageAttention
Quantized Attention that achieves speedups of 2.1x and 2.7x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models.controlvideo
Official implementation for "ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing"warplda
Cache efficient implementation for Latent Dirichlet Allocation3D_Corruptions_AD
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023low-bit-optimizers
Low-bit optimizers for PyTorchMMTrustEval
A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)stochastic_gcn
Stochastic training of graph convolutional networksRoboticsDiffusionTransformer
RDT-1B: a Diffusion Foundation Model for Bimanual ManipulationAttack-Bard
DPM-Solver-v3
Official code for "DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics" (NeurIPS 2023)tianshou-docs-zh_CN
倩ζδΈζζζ‘£Prior-Guided-RGF
zh-clip
SRPO
Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).vflow
Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)AT3D
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition, CVPR 2023, Highlightimplicit-normalizing-flows
Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)HiDe-Prompt
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)NUNO
[ICML 2023] Non-Uniform Neural Operator (NUNO)IODF
fpovi
Code for "Function Space Particle Optimization for Bayesian Neural Networks"CF-UIcA
Code for "Collaborative Filtering with User-Item Co-Autoregressive Models"Zhusuan-Jittor
Zhusuan with backend JittorLM-Calibration
mmdcgm-ssl
mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learningZhusuan-PaddlePaddle
Zhusuan with backend PaddlePaddleood-dgm
MEM_DGM
Code for "Learning to Generate with Memory"ProbML-book-solution
adversarial_training_imagenet
pmd
Population matching discrepancyCEURL
Official implementation for "PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning" (NeurIPS 2024)VCAS
Official code for "Efficient Backpropagation with Variance Controlled Adaptive Sampling" (ICLR 2024)imagenet-a-plus
wmvl
Code for "A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models"sEM-vr
code for pLSA and LDA in the paper "Stochastic Expectation Maximization with Variance Reduction"Efficient-Diffusion-Alignment
Official Codebase for "Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control" (NeurIPS 2024)Noise-Contrastive-Alignment
Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards"i-DODE
Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)CCA
Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"ACTNN-PaddlePaddle
DBIM
Official codebase for "Diffusion Bridge Implicit Models" (https://arxiv.org/abs/2405.15885).Jetfire-INT8Training
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