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Larsen and Toubro Infotech (Fosfor Unit)
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A course on aligning smol models.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
Fetch Academic Research Papers from different sources
Hackable and optimized Transformers building blocks, supporting a composable construction.
๐ฏ Curated coding interview preparation materials for busy software engineers
Studying for a tech interview sucks. Here's an open source cheat sheet to help
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Tesseract OCR & spaCy NER
Running LambdaMART using XGBoost
๐ Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
Machine Learning Yearning book by
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Top2Vec learns jointly embedded topic, document and word vectors.
`scrape_linkedin` is a python package that allows you to scrape personal LinkedIn profiles & company pages - turning the data into structured json.
Data Science Feature Engineering and Selection Tutorials