Stars
Machine Learning in Finance: From Theory to Practice Book
Long Range Arena for Benchmarking Efficient Transformers
Research project on reinforcement learning models for physics-based character locomotion
End-to-end Recovery of Human Shape and Pose with tensorflow 2.0
Motion Reconstruction Code and Data for Skills from Videos (SFV)
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
A curated list of awesome Bioinformatics libraries and software.
Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
awaemmanuel / LeetCode-Kamyu
Forked from shijbian/LeetCode📝 Solutions of All 341 LeetCode Questions
🏋️ Python / Modern C++ Solutions of All 4013 LeetCode Problems (Weekly Update)
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A curated list of data mining papers about fraud detection.
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Must-read papers on graph neural networks (GNN)
A comprehensive collection of recent papers on graph deep learning
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A curated list of network embedding techniques.
A course in reinforcement learning in the wild
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Embedded and mobile deep learning research resources
Edward content including papers, posters, and talks
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Distributed Asynchronous Hyperparameter Optimization in Python