Alternatives and similar repositories for Computer-Vision-CMU-16720B:

Users that are interested in Computer-Vision-CMU-16720B are comparing it to the libraries listed below

• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• Gourang97 / Causal-Variational-Autoencoders
  Causal Variational AutoEncoders
  ☆28Updated 4 years ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆131Updated 6 years ago
• EdisonLeeeee / ICLR2023-OpenReviewData
  ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
  ☆104Updated 2 years ago
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆45Updated last year
• fedebotu / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews
  ☆109Updated 2 years ago
• tengyuma / cs229m_notes
  ☆222Updated 2 years ago
• tanyang1231 / OTCE_Transferability_CVPR21
  A demo code of "OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations" published in CVPR2021
  ☆18Updated 3 years ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆30Updated 2 years ago
• zhanglabtools / DeepLearningTheory.course
  Deep Learning Theory course
  ☆25Updated 3 years ago
• jasonbian97 / Deep-Learning-Computer-Vision
  Personal implementation for Stanford CS231n / Umich: Deep Learning for Computer Vision (by Justin Johnson)
  ☆70Updated 5 years ago
• chen-hao-chao / dlsm
  [ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation
  ☆8Updated 2 months ago
• KAIST-Visual-AI-Group / Diffusion-Assignment1-DDPM
  ☆28Updated last month
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated 11 months ago
• fedebotu / ICLR2023-OpenReviewData
  Crawl & Visualize ICLR 2023 Data from OpenReview
  ☆81Updated 2 years ago
• LecJackS / CS-330-Deep-Multi-Task-and-Meta-Learning
  https://cs330.stanford.edu/
  ☆62Updated 2 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 3 years ago
• ucals / cvae
  ☆67Updated 2 years ago
• XavierXiao / Likelihood-Regret
  Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020
  ☆49Updated 3 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆58Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆112Updated last year
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆78Updated 2 years ago
• GuangfuWang / geometric-deep-learning-chinese-translation-scripts
  ☆24Updated 3 years ago
• weigq / iclr2024_stats
  ICLR2024 statistics
  ☆47Updated last year
• sjunhongshen / ORCA
  Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"
  ☆71Updated last year
• Johann-Huber / batchnorm_pytorch
  A simple implementation of Batch Normalization using pytorch.
  ☆45Updated 4 years ago
• Open-Source-ML / awesome-human-centered-ai
  A curated list of awesome human-centered AI resources.
  ☆47Updated 2 years ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆149Updated 2 years ago
• Openning07 / awesome-curriculum-learning
  some bravo or inspiring research works on the topic of curriculum learning
  ☆234Updated 2 years ago
• huckiyang / awesome-deep-causal-learning
  A curated list of awesome deep causal learning methods since 2018
  ☆17Updated 2 years ago