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Formalizing and benchmarking open problems in single-cell genomics
DANCE: a deep learning library and benchmark platform for single-cell analysis
Robust Speech Recognition via Large-Scale Weak Supervision
📺 Discover the latest machine learning / AI courses on YouTube.
A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
Recipe for a General, Powerful, Scalable Graph Transformer
FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)
Learning to untangle genome assembly with graph neural networks.
codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
An end-to-end implementation of intent prediction with Metaflow and other cool tools
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
The first GANs-based omics-to-omics translation framework
Multi-task deep learning framework for multi-omics data analysis
tuero / h-levin
Forked from levilelis/h-levinLevin tree search guided by both a policy and a heuristic function
Gin provides a lightweight configuration framework for Python
An autoML framework & toolkit for machine learning on graphs.
A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem
A super simple Python wrapper for the constrained traveling salesman and vehicle routing problem solver LKH-3.
Unified slicing for all Python data structures.
Monte Carlo Tree Search with Reinforcement Learning for Motion Planning