Highlights
Stars
A tool to configure, launch and manage your machine learning experiments.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Machine Learning Engineering Open Book
A toolkit for benchmarking Generative Models
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Pytorch implementation of FlowNet by Dosovitskiy et al.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Master the command line, in one page
Modern Computer Vision with PyTorch, published by Packt
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
💯 Curated coding interview preparation materials for busy software engineers
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Code and resources on scalable and efficient Graph Neural Networks
Curated list of awesome GAN applications and demo
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A toolkit for developing and comparing reinforcement learning algorithms.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit for reproducible reinforcement learning research.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A Python implementation of global optimization with gaussian processes.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
🏋️ Python / Modern C++ Solutions of All 3343 LeetCode Problems (Weekly Update)