| BiLLM: Pushing the Limit of Post-Training Quantization for LLMs | Feb 6, 2024 | BinarizationGPU | CodeCode Available | 3 |
| Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces | Feb 1, 2024 | Computational EfficiencyGPU | CodeCode Available | 3 |
| KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization | Jan 31, 2024 | GPUQuantization | CodeCode Available | 3 |
| FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design | Jan 25, 2024 | GPUQuantization | CodeCode Available | 3 |
| MoE-Infinity: Efficient MoE Inference on Personal Machines with Sparsity-Aware Expert Cache | Jan 25, 2024 | GPUmodel | CodeCode Available | 3 |
| Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models | Jan 16, 2024 | GPUQuantization | CodeCode Available | 3 |
| RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation | Jan 9, 2024 | GPUMath | CodeCode Available | 3 |
| Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models | Jan 9, 2024 | GPU | CodeCode Available | 3 |
| MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices | Dec 28, 2023 | AutoMLCPU | CodeCode Available | 3 |
| XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library | Dec 25, 2023 | CPUDeep Reinforcement Learning | CodeCode Available | 3 |
| Splatter Image: Ultra-Fast Single-View 3D Reconstruction | Dec 20, 2023 | 3D Object Reconstruction3D Reconstruction | CodeCode Available | 3 |
| S-LoRA: Serving Thousands of Concurrent LoRA Adapters | Nov 6, 2023 | GPUparameter-efficient fine-tuning | CodeCode Available | 3 |
| Punica: Multi-Tenant LoRA Serving | Oct 28, 2023 | GPU | CodeCode Available | 3 |
| TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs | Oct 25, 2023 | Autonomous DrivingGPU | CodeCode Available | 3 |
| Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews | Oct 18, 2023 | CPUGPU | CodeCode Available | 3 |
| Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation | Sep 27, 2023 | GPUText-to-Video Generation | CodeCode Available | 3 |
| InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation | Sep 12, 2023 | GPUImage Generation | CodeCode Available | 3 |
| nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources | Sep 5, 2023 | DecoderGPU | CodeCode Available | 3 |
| Retentive Network: A Successor to Transformer for Large Language Models | Jul 17, 2023 | GPULanguage Modeling | CodeCode Available | 3 |
| TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement | Jun 14, 2023 | GPUMotion Estimation | CodeCode Available | 3 |
| Fine-Tuning Language Models with Just Forward Passes | May 27, 2023 | GPUIn-Context Learning | CodeCode Available | 3 |
| Unlimiformer: Long-Range Transformers with Unlimited Length Input | May 2, 2023 | Book summarizationCPU | CodeCode Available | 3 |
| TorchBench: Benchmarking PyTorch with High API Surface Coverage | Apr 27, 2023 | BenchmarkingGPU | CodeCode Available | 3 |
| FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization | Mar 24, 2023 | 3D Hand Pose EstimationGPU | CodeCode Available | 3 |
| EvoTorch: Scalable Evolutionary Computation in Python | Feb 24, 2023 | GPUreinforcement-learning | CodeCode Available | 3 |
