jerrylxx's Stars
guosheng/refinenet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
AndreKelm/RefineContourNet
Results of the paper "Object Contour and Edge Detection with RefineContourNet"
Wangyupei/CED
Deep Crisp Boundaries
xinyu1205/recognize-anything
Open-source and strong foundation image recognition models.
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
tinyzqh/awesome-reinforcement-learning
Learning Resources And Links Of Reinforcement Learning (updating)
luwill/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
luwill/Deep-Learning-Image-Segmentation
Deep Learning Image Segmentation: Theory and Practice
facebookresearch/detr
End-to-End Object Detection with Transformers
fundamentalvision/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
NVlabs/RADIO
Official repository for "AM-RADIO: Reduce All Domains Into One"
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
panzhiyi/CC4S
CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
jwzhanggy/tinyBIG
tinybig for deep function learning
SuperMedIntel/Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
zhang-haojie/wesam
[CVPR 2024] Code for "Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation"
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
thuml/TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
Visualize-ML/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!
fcampelo/Design-and-Analysis-of-Experiments
Lecture Notes on Design & Analysis of Experiments
tirthajyoti/Design-of-experiment-Python
Design-of-experiment (DOE) generator for science, engineering, and statistics
tisimst/pyDOE
Design of experiments for Python
basf/doe
Python package for flexible generation of D-optimal experimental designs
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
spencerbraun/anomaly_transformer_pytorch
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy