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Curated list of data science interview questions and answers
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
A modular active learning framework for Python
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Robust Learning Through Cross-Task Consistency [Best Paper Award Nominee, CVPR2020]
Natural language Ctrl+F on webpages for people in hurry
A general fine-tuning kit geared toward diffusion models.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
A lightweight and responsive website template that automatically crawls papers and talks from bibtex files
Huggingface-compatible SDXL Unet implementation that is readily hackable
Finding and Mitigating bias from Job Description
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features [CVPR 2024]
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
On the detection of synthetic images generated by diffusion models
Layered Score Distillation for Disentangled Object Relighting
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A benchmark of diverse emotional reactions and explanations for image-caption pairs
Diffusion attentive attribution maps for interpreting Stable Diffusion.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Barebones practical tmux configuration with keyboard-based fast switching and resizing because mouse-mode sucks for copy-pasting