Models: Difference between revisions
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* Hugging Face Transformers |
Latest revision as of 21:21, 21 May 2023
Models are the machine learning and computer vision models I have used.
Computer Vision
- YOLOv8
- BLIP
- BLIPv2
- Grounding DINO
- CLIP
- ImageBind
- Segment Anything
Machine Learning
- Random forest
- t-SNE
- K-means clustering
- Time-series forecasting with Prophet
- Isolation forest
NLP
- GPT-3.5 (Turbo)
- gensim matrices
- OpenAI Embeddings
- Sentence Transformers
- nanoGPT (https://github.com/karpathy/nanoGPT)
General Frameworks
- scikit-learn
- nltk
- Hugging Face Transformers