🤖 Data science - saeedesmaili

🎯Fine-tuning Academic

arxiv.org·

Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch

🔥PyTorch Code

github.com

··DEV

Larch: Learned Query Optimization for Semantic Predicates

🕸️Knowledge Graphs Academic

arxiv.org·

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

🔬Deep Learning Academic

arxiv.org·

make descriptions shorter · vinta/awesome-python@9f156de

🤖AI Agents Code

github.com·

Spiking Neural Network inference on FPGAs with hls4ml

🤖Machine Learning Academic

arxiv.org·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

🔬Deep Learning Code

github.com··Hacker News

SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization

🔢Embeddings Academic

arxiv.org·

Towards Robust Arabic Speech Emotion Recognition with Deep Learning

🧠Neural Networks Academic

arxiv.org·

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

🧠LLM Inference Code

github.com··r/LocalLLaMA

Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search

🔥PyTorch Academic

arxiv.org·

sarveshrv07-arch/AegisHive-Swarm-Robotics-System-for-Disaster-Response: AegisHive is a programming-based virtual rescue robotics project developed using basic concepts of mechatronics, IoT, and machine learning to simulate how multiple robots can work together during disaster response operations.

🐍Python Code

github.com··r/learnprogramming

I stopped using most of Rust’s advanced features for my ML library

🔥PyTorch Code

github.com··r/rust

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

💬Natural Language Processing Academic

arxiv.org·

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

🪟Context Windows Academic

arxiv.org·

LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models

💬Natural Language Processing Academic

arxiv.org·

GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection

💬Natural Language Processing Academic

arxiv.org·

Contextualized Prompting For Stance Detection On Social Media

🤖LLM Academic

arxiv.org·

GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

🤖Machine Learning Academic

arxiv.org·

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

Post-training is (Massive) Supervised Learning

Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch

Larch: Learned Query Optimization for Semantic Predicates

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

make descriptions shorter · vinta/awesome-python@9f156de

Spiking Neural Network inference on FPGAs with hls4ml

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization

Towards Robust Arabic Speech Emotion Recognition with Deep Learning

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search

sarveshrv07-arch/AegisHive-Swarm-Robotics-System-for-Disaster-Response: AegisHive is a programming-based virtual rescue robotics project developed using basic concepts of mechatronics, IoT, and machine learning to simulate how multiple robots can work together during disaster response operations.

I stopped using most of Rust’s advanced features for my ML library

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models

GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection

Contextualized Prompting For Stance Detection On Social Media

GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis