Hi there, I am Subhansh Malviya I am an Applied Computer Vision Researcher. I like to build prototypes using existing methods which solves real-problems, other than quantizating or finetuning a model. I like to focus on mathematical intution behind existing principles, like how model architectures are made, loss functions, statistics and benchmarks..
- Research Domain: Computer Vision
- Frameworks: PyTorch, Transformers, LangChain
- Data & MLOps: Pandas, NumPy, Matplotlib, Docker, FAISS, TensorBoard, WandB
- Languages & Tools: Python, SQL, Git, Linux, Jupyter
- Cloud & Deployment: AWS, Vercel, Render, HF-spaces
- CLIP vs Perception Encoder combining (Vision+language) [D Bolya. Research Scientist (FAIR) at meta.]
- Accuracy-latency pareto curve in real-time detectors....
- Open-Vocabulary Detectors..
Connect with me:

