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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A collection of learning resources for curious software engineers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
A curated list of awesome mathematics resources
code for Data Science From Scratch book
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
👩🏫 Advanced NLP with spaCy: A free online course
Keep track of internships for Summer 2020 for undergraduates interested in tech./SWE/related fields
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
🐦🌴🌴🌴🦕 A home for ethereum smart contracts. 🏠
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
Robust machine learning for responsible AI
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders