richardaecn/class-balanced-loss
quality grade D, 40 out of 100Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Lightweight & fast OCR models for license plate text recognition.
Use PyTorch to implement some classic frameworks
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Unofficial PyTorch Reimplementation of RandAugment.
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
UPSNet: A Unified Panoptic Segmentation Network
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
A Real-time Mario Kart 64 AI using ConvNets.
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Pretrained TorchVision models on CIFAR10 dataset (with weights)
机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有:机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
Generating Videos with Scene Dynamics. NIPS 2016.
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
An evolving guide to learning Deep Learning effectively.
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
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