📄️ 3D Computer Vision
Scanning
📄️ Data Formats for ML
Lance
📄️ Evaluation Metrics
Classification
📄️ Extreme Classification
GitHub - nilesh2797/ELIAS: Official codebase for End-to-end Learning to Index and Search in Large Output Spaces
📄️ Image Recognition
- Update README, add --reparm to onnx\_export · huggingface/pytorch-image-models@38c474e · GitHub
📄️ ML Scaling
NLP
📄️ Machine Learning Tricks and Best Practices
- GitHub - google-research/tuningplaybook: A playbook for systematically maximizing the performance of deep learning models.
📄️ Natural Language Processing
Large Language Models
📄️ Tabular Machine Learning
Trees
📄️ Text Embeddings
- [2310.19923] Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
📄️ Transformer Alternatives
- retnet
📄️ Active Learning
Active Learning Through a Covering Lens (2022-05)
📄️ Approximate Nearest Neighbor Search / Vector Search
- ANN Benchmarks
📄️ Model Benchmarks
timm (pytorch-image-models)
📄️ Convolutional Neural Networks
Contrastive Pretraining for CNNs
🗃️ conferences
1 items
📄️ Computer Vision Datasets
ImageNet
📄️ Object Detection
SSD
📄️ Diffusion Models
The Illustrated Stable Diffusion – Jay Alammar – Visualizing machine learning one concept at a time.
📄️ Model Distillation and Transfer Learning
Knowledge Distillation
📄️ Distributed Training
📄️ Feature Stores
Articles
📄️ Few Shot Learning
Low Shot
📄️ Fine Tuning / Transfer Learning
Parameter efficient transfer learning
📄️ graphs
PyG Documentation — pytorch\_geometric documentation
📄️ Label Noise
Robust Losses
📄️ LLMs (Large Language Models)
- LLM Worksheet - Google Sheets
📄️ Long Tail Classification and Class Imbalance
Evaluation
📄️ Medical Machine Learning
Medical Imaging
📄️ Multi Label Classification
- GitHub - Alibaba-MIIL/MLDecoder Scalable and Versatile Classification Head" (2021)
📄️ Multi Modal Learning
https://github.com/OFA-Sys/OFA
📄️ Multi Task Learning
https://github.com/facebookresearch/omnivore
📄️ NeRF: Neural Radiance Fields
Understanding NeRFs - by Cameron R. Wolfe
📄️ OCR: Optical Character Recognition
Text Detection
🗃️ Deployment
5 items
📄️ Hyperparameters from Papers
🗃️ papers
5 items
📄️ Human Pose Estimation
Code
🗃️ Recommenders and Retrieval
3 items
🗃️ research-ideas
1 items
📄️ Learning Resources
Books
📄️ Retrieval Augmented Models
Retrieval Augmented Models use an external source of data at query / inference time to augment the model.
📄️ Recinforcement Learning
Resources
🗃️ Robotics
1 items
📄️ Image Segmentation
https://github.com/Visual-Attention-Network/SegNeXt/
🗃️ Self Supervised Learning
2 items
📄️ Semi Supervised Learning
- Unified Semi-Supervised Learning
📄️ Speech Recognition
https://github.com/openai/whisper
📄️ Synthetic Data Generation
🗃️ Transformers
2 items
📄️ Training Tricks
Augmentation
📄️ Video
Segmentation
📄️ Vision Language Pre Training
GitHub - microsoft/BridgeTower Building Bridges Between Encoders in Vision-Language Representation Learning"
📄️ Visual Search / CBIR / Instance Recognition / Instance Retrieval / Metric Learning
- https://github.com/willard-yuan/awesome-cbir-papers