35 skills found · Page 1 of 2
maZZZu / BmfrBlockwise Multi-Order Feature Regression for Real-Time Path Tracing Reconstruction
johnjohndoe / LineReaderReading a text file line by line aka block wise.
gtong-nv / BMFR DXR DenoiserA Real-Time Path Tracing Reconstruction based on Blockwise Multi-order Feature Regression and implemented with DXR
RadeonFlow / RadeonFlow KernelsEfficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X
kana / Vim NiceblockVim plugin: Make blockwise Visual mode more useful
kyegomez / Blockwise Parallel Transformer32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
shoaibahmed / Blockwise SslRepository containing code for blockwise SSL training
chiutaiyin / PhotoWCT2PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals
champost / ABLEABLE - Approximate Blockwise Likelihood Estimation
LohseLab / GIMbleA genome-wide IM blockwise likelihood estimation toolkit
mlvlab / Blockwise Flow Matching[NeurIPS25] Official Implementation (Pytorch) of "Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation"
x-d-wang / Soft Person Reidentification Network Pruning Via Blockwise Adjacent Filter DecayingNo description available
t9md / Atom Vim Mode Visual BlockAdd visual-blockwise operation to vim-mode.
kimsunwiub / BLOOM NetSource code for "BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement"
osyo-manga / Vim Operator BlockwiseNo description available
hongsunjang / Pipe Bd[DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation
ElianMalkin / Foveate BlockwiseReal-time image and video foveation transform using PyCUDA
osyo-manga / Vim Textobj BlockwiseNo description available
bearadamsj / Blockwised NL Means Denoising Filter DesignA blockwised Nonlocal means denoiser has been implemented for image denoising.
Giseung-Park / BlockSeqCode for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022, Oral presentation)
