LLM training in simple, raw C/CUDA
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Instant neural graphics primitives: lightning fast NeRF and more
FlashInfer: Kernel Library for LLM Serving
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
- human-pose-estimation
- deep-learning
- coco-keypoints-detection
- mpii-dataset
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
- attention
- inference-acceleration
- llm
- quantization
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
Sample codes for my CUDA programming book
- cuda-programming
- gpu-programming
- molecular-dynamics-simulation
GPU Accelerated t-SNE for CUDA with Python bindings
A GPU implementation of Convolutional Neural Nets in C++
reproducing the flapping airplanes megakernel, in collab with magni