351. yolov4 darknetYOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
352. torch-asgAuto Segmentation Criterion (ASG) implemented in pytorch
354. VisCOLLCode and data for the project "Visually grounded continual learning of compositional semantics"
355. desNo description, website, or topics provided.
356. LightBenderA multi-platform, GPU-accelerated, C++ rendering application written around the NVIDIA OptiX Ray Tracing API.
358. equelleCompiler and back-end support for the Equelle domain-specific language for PDEs.
361. heterosyncHeteroSync is a benchmark suite for performing fine-grained synchronization on tightly coupled GPUs
366. fast rnntA torch implementation of a recursion which turns out to be useful for RNN-T.
367. LTNetImplement of LTNet in "Facial expression recognition with inconsistent datasets", ECCV 2018
368. vrd-dsrCode for Visual Relationship Detection with Deep Structural Ranking (AAAI2018)
373. Open3D[IROS 2019] GPU Accelerated Robust Scene Reconstruction
374. SoliditySHA3MinerAll-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).
375. DCNv2Deformable Convolutional Networks v2 with Pytorch
379. nglodNeural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
386. vqa-softAccompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.
388. BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
392. FLAMEGPU2FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python
393. GLATImplementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"
397. apolloAn open autonomous driving platform 百度自动驾驶开源框架
399. SOLQ"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.
400. overfit-shapesC++/PyTorch Implementation of the Paper: "Overfit Neural Networks as a Compact Shape Representation"