Header-only C++/python library for fast approximate nearest neighbors

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

Benchmarks of approximate nearest neighbor libraries in Python

Framework for evaluating ANNS algorithms on billion scale datasets.

Algorithms for approximate nearest neighbor search with window filters

Graph Pattern Mining

Peregrine: A Pattern-Aware Graph Mining System

An elegant PyTorch offline reinforcement learning library for researchers.

implementation of GpSM program by Ha-Nguyen to solve subgraph isomorphism problem on GPU

Papers on Graph Analytics, Mining, and Learning

My favorite C programming practices.

A versatile pairwise aligner for genomic and spliced nucleotide sequences

LLM training in simple, raw C/CUDA

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Master programming by recreating your favorite technologies from scratch.

Efficiently computes derivatives of NumPy code.

List of resources for learning Category Theory

The most cited deep learning papers

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!