Julian Quevedo (julian-q)

julian-q

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Home Page:jujujulian.xyz

Twitter:@julianhquevedo

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Julian Quevedo's repositories

kgene

Knowledge graph extraction from webcrawled plaintext.

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BIGCHAIR

BIGCHAIR: BImodal Graph-CHAracter learnIng for Retrieval. Stanford CS 224N final project by Pino Cholsaipant, Sidney Hough, + Julian Quevedo.

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hgcn

Increased-Efficiency Hyperbolic Graph Convolutional Networks with PyTorch Geometric.

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laser-control

Automatic laser power stabilization using a motorized waveplate mount.

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fmri-analysis

Graph Attention Transformer Encoder: QKV attention mechanism for GNNs.

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GradCache

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

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hugo-PaperMod

A fast, clean, responsive Hugo theme.

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policy-gradient

Reinforcement Learning: A NumPy implementation of two simple policy gradient algorithms.

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ArCHer

Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

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composer

Train neural networks up to 7x faster

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cs140e-24win

all class materials for 140e

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FasterTransformer

Transformer related optimization, including BERT, GPT

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FlexGen

Running large language models on a single GPU for throughput-oriented scenarios.

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gemm

Improving GEMM performance with language models

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graph-meta-rl-for-amod

Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"

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GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

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kliu.io

A blog.

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llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

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object-oriented-NN

Object-oriented neural network built from scratch with NumPy.

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plants

Exploring Lindenmayer systems. BIO 20Q project by Pino Cholsaipant + Julian Quevedo.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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sketches

programmatic animations with processing

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smoothquant

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

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vector-fields

A simple vector field / differential equation plotter with Euler's method solution trajectories.

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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