- 🔭 I am Currently working asSr.AWS AI ML Solution Architect atIBM
🌱 I’m currently Learning Quantum Machine learning😎.
📚 I have reviewed more than25+ Technical books for Packt, Manning and Springer nature.
👯 I’m collaborator in
keras
,tensorflow
and looking for more collaboration.🥅 2022 Goals: Explore the more and more research of Computer vision, Deep learning, NLP, Time Series Analysis, Audio Deep learning, Satellite Image Segmentation etc.
⚡ Fun fact: I love to code.
- Laptop (I am using)-UserBenchmarks: Game 64%, Desk 82%, Work 62%
Model | Bench | |
---|---|---|
CPU | Intel Core i7-10870H | 77.1% |
GPU | Intel UHD Graphics | 4.8% |
GPU | Nvidia RTX 3060 (Laptop) | 84.1% |
SSD | Samsung MZVLB1T0HBLR-00007 1TB | 104.4% |
RAM | Hynix HMAA2GS6AJR8N-XN 1x16GB | 37.8% |
MBD | Acer Predator PH315-53 |
💾 365 Days of Computer Vision -🔗
Thanks for visit my profile.
PinnedLoading
- 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code Public500 AI Machine learning Deep learning Computer vision NLP Projects with code
- Andrew-NG-Notes
Andrew-NG-Notes PublicThis is Andrew NG Coursera Handwritten Notes.
- Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network PublicTools to Design or Visualize Architecture of Neural Network
- Treasure-of-Transformers
Treasure-of-Transformers Public💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
- Amazing-Feature-Engineering
Amazing-Feature-Engineering PublicFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …
If the problem persists, check theGitHub status page orcontact support.