🌟 Current focus
- 🔭 I’m currently working on training deep learning models and using conversational LLM/VLM models.
- 🌱 I’m currently learning more efficient coding on Leetcode.
- 👯 I’m looking to collaborate on deep learning, computer vision, LLMs, multi-modal learning.
- 📫 How to reach me: medium, linkedin.
- How to share ML experiments and code (Part I, Part II)
- LLM evaluation for RAG applications
- 2023 highlights of computer vision progress
- Others: building models without labels, GPU workflows in deep learning, tf-idf + NB for text classification
- haystack contributions: fix union types, rest api tags, ssl disable, ollama fix
- fiftyone contributions: yolov8 track ids, draw labels on video
- Practical hyper-parameter tuning for deep learning
- Few tips to fine-tune SAM
- Others: zero-training object detection, telegram ml hackathon solution, selecting video frames for labelling
- HOTA calculation for tracking evaluation with py-motmetrics
- fiftyone contributions: browser selection, feature extractor enhacement, dataset export tags, sam to model zoo
- tiny ultralytics contribution
- 2nd place telegram mini-app hackathon solution
- Telegram ML hackathon solution repo and a huggingface demo.
- Comparison of object detection method for SAR
- How to create reproducible data prep pipelines
- My humble manifest on keeping a Trainlog for machine learning experiments
- Segment-anything model integration to segmentation-models-pytorch
- Segment-anything model integration to fiftyone zoo
- small hf-accelerate fix, small enhancement to segment-anything, dice score computation in fiftyone
- How to train deep nets on a remote gpu with a single git commit
- How to optimize deep learning models deployed with triton-inference-server
- Label studio integration in FiftyOne
- CLIP model integration in FiftyOne
- smaller contributions: triton-mlflow-plugin fix, count exact number of frames, cvat custom name, mlflow onnx flavor docs, import from/export to yolov5 format with confidence
Some projects I've worked on:
- Computer vision data prep and model training and deployment from cli. Docs are yet to come.
- UI page to set a training schedule reminder. See a webpage or try in a Telegram bot.
- Data clustering hackathon - 4th place, hackathon description.
- Telegram bot to reply with video quotes from favourite movies.
- Blog in Russian.
- Deeplearning.ai GAN specialization homework.
- Winner of epilepsy classification hackathon.