Welcome to the Applied Singularity blog. Use this Contents post to browse through the full list of articles and Guided Learning Modules we have created or find specific topics of interest.
- NLP Tutorials — Part 27: Topic Modelling
- NLP Tutorials — Part 26: Infinite Transformer
- NLP Tutorials — Part 25: Text Summarization
- NLP Tutorials — Part 24: Named Entity Recognition
- NLP Tutorials — Part 23: Fastformer: Additive Attention Can Be All You Need
- NLP Tutorials — Part 22: Text Classification using Transformers
- NLP Tutorials — Part 21: Linformer: Self-attention with Linear Complexity
- NLP Tutorials — Part 20: Compressive Transformer
- NLP Tutorials — Part 19: Longformer: Long Document Transformer
- NLP Tutorials — Part 18: GPT-3
- NLP Tutorials — Part 17: GPT-2
- NLP Tutorials — Part 16: Generative Pre-Training
- NLP Tutorials — Part 15: DistilBERT
- NLP Tutorials — Part 14: RoBERTa
- NLP Tutorials — Part 13: BERT
- NLP Tutorials — Part 12: Transformer-XL
- NLP Tutorials — Part 11: Transformers
- NLP Tutorials — Part 10: Encoder-Decoder RNNs
- NLP Tutorials — Part 9: Bi-LSTMs & GRUs
- NLP Tutorials — Part 8: Long Short Term Memory (LSTMs)
- NLP Tutorials-Part 7: Recurrent Neural Networks
- NLP Tutorials — Part 6: Text Classification
- NLP Tutorials — Part 5: GloVe
- NLP Tutorials — Part 4: Word2Vec Embedding
- NLP Tutorials — Part 3: Document Similarity
- NLP Tutorials — Part 2: Text Representation & Word Embeddings
- NLP Tutorials – Part 1: Beginner’s Guide to Text Pre-Processing
- YOLOv4
- YOLOv3
- RetinaNet
- SSD: Single Shot MultiBox Detector
- YOLO9000 (YOLO v2)
- YOLO: You Only Look Once
- Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation (TecoGAN)
- Egocentric Videoconferencing
- One-Shot 3D Photography
- A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
- Deformable Neural Radiance Fields
- COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
- Learning Loss for Active Learning
- IoT for Indoor Air Quality monitoring
- Why do we need Indoor Air Quality monitoring?
- Clustering in ML – Part 5: Distributed-based & Fuzzy Clustering
- Clustering in ML – Part 4: Connectivity Based Clustering
- Clustering in ML – Part 3: Density Based Clustering
- Clustering in ML – Part 2: Centroids Based Clustering
- Clustering in ML – Part 1: Introduction
- Neural Crest Development
- Baby Spinach-based Minimal Modified Sensor (BSMS) for nucleic acid analysis
- Object Detection – Part 6: Mask R-CNN
- Object Detection – Part 5: Faster R-CNN
- Object Detection – Part 4: Spatial Pyramid Pooling (SPPnet)
- Object Detection – Part 3: Fast R-CNN
- Object Detection – Part 2: Region Based CNN (R-CNN)
- Object Detection – Part 1: Introduction
- NF-Nets: Normalizer Free Nets
- Castle in the Sky
- Interactive Video Stylization Using Few-Shot Patch-Based Training
- Ensemble Learning in ML – Part 3: Stacking
- Ensemble Learning in ML – Part 2: Boosting
- Ensemble Learning in ML – Part 1: Bagging
- Workflow and Implications of membrane lipids
- Discovery of novel molecular pathways linked to Insulin Resistance
- What is a Digital Twin?
- GATT in Bluetooth Low Energy (BLE)
- PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
- CLEVRER: CoLlision Events for Video REpresentation and Reasoning
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