Skills & Technologies

Deep Learning

  • โ€ข ๐Ÿ–ผ๏ธ CNNs (Vision)
  • โ€ข ๐Ÿ“ RNNs (Sequences)
  • โ€ข ๐Ÿง  LSTMs (Memory)
  • โ€ข ๐ŸŽฏ Transformers (Attention)
  • โ€ข ๐ŸŽจ GANs (Generation)
  • โ€ข ๐Ÿ” Autoencoders (Compression)
  • โ€ข ๐Ÿ—๏ธ DBNs (Deep Belief)
  • โ€ข ๐Ÿš€ Ultralytics (YOLO)

Time Series Analysis and Forecasting

  • โ€ข ๐Ÿ“ˆ ARIMA (Classic)
  • โ€ข ๐Ÿ”„ SARIMA (Seasonal)
  • โ€ข ๐Ÿ“Š ETS (Smoothing)
  • โ€ข ๐Ÿ”ฎ Prophet (Facebook)
  • โ€ข ๐Ÿง  GRU (Gated)
  • โ€ข ๐Ÿ›๏ธ Informer (Long Sequence)
  • โ€ข ๐Ÿงฉ PatchTST (Patches)
  • โ€ข ๐ŸŒณ XGBoost (Gradient Boost)
  • โ€ข ๐Ÿ“ SVR (Support Vectors)

Multi-Modal Learning

  • โ€ข ๐Ÿ‘๏ธ๐Ÿ—จ๏ธ BLIP (Vision-Language)
  • โ€ข ๐Ÿฑ Gato (Generalist)
  • โ€ข ๐Ÿ’Ž Gemini (Google)
  • โ€ข ๐Ÿฆฉ Flamingo (Visual Dialog)
  • โ€ข ๐ŸŽจ DALLยทE (Image Gen)
  • โ€ข ๐Ÿ“Ž CLIP (Contrastive)
  • โ€ข ๐Ÿ—ฃ๏ธ PaLI (Pathways)
  • โ€ข ๐ŸŽฌ VideoGPT (Video)