Code for Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

Official repository of "ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models"

Official implementation of the paper "Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization".

🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.

[WACV 26] Official code for the paper Safe Vision-Language Models via Unsafe Weights Manipulation

Code repository of the paper: Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods. Published at ICLR, 2025.

Official implementation of "Training-free Online Video Step Grounding", NeurIPS 2025

CoNNect repo for connectivity-based pruning of neural networks.

Official implementation of "ConViS-Bench: Estimating Video Similarity Through Semantic Concepts", NeurIPS 2025

Code implementation of DuoGPT (NeurIPS 2025, https://arxiv.org/abs/2506.20194)

Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

The official code for the paper "Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning", published in the Transactions on Machine Learning Research (TMLR).

Multi Task RL Baselines

Multi-task reinforcement learning research

Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation

Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024

Official repo of the paper "Dynamic Scoring with Enhanced Semantics for Training-Free Human-Object Interaction Detection" (ACMMM2025)

Conditional computing research: hybrid approach for stacked MoE and Early-Exit Neural Networks

Official Implementation of Data Adaptive Pathway Discovery (DAPD) for Online RL

[ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Official codebase for the paper "Training-Free Personalization via Retrieval and Reasoning on Fingerprints"

Github repo for ICLR-2025 paper, Fine-tuning Large Language Models with Sparse Matrices

Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models