Christinaliang

1Point3Acres_Daily_Question

每日答题题库，日常更新

Adaptively-Connected-Neural-Networks

A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"

AET

The project website for "Auto-Encoding Transformations."

afm_cvpr2019

Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)

ALBERT

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

AlphaPose

Real-Time Multi-Person Pose Estimation System

bertviz

BertViz: Visualize Attention in Transformer Models (BERT, GPT2, BART, etc.)

CenterNet_Pro_Max

Experiments based on CenterNet (more backbones, TensorRT deployment and mask head)

KL-Loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Multi-Scale-Attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

Christinaliang/bertviz

BertViz: Visualize Attention in Transformer Models (BERT, GPT2, BART, etc.)

Christinaliang/BioGPT

Christinaliang/brain-score

A framework for evaluating models on integrative brain and behavior measurements

Christinaliang/challenges_review

Christinaliang/detr

End-to-End Object Detection with Transformers

Christinaliang/Face

Christinaliang/fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Christinaliang/GAGNN

add codes

Christinaliang/GNN-in-RS

Christinaliang/hcmd_dai

Christinaliang/LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Christinaliang/lstm-fmri-dynamics

Code for "Capturing brain dynamics: latent spatiotemporal patterns predict stimuli and individual differences"

Christinaliang/Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

Christinaliang/MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

Christinaliang/nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Christinaliang/Neuroimaging_Pattern_Masks

Brain signature patterns, atlases of regions, and meta-analysis masks for neuroimaging data analysis.

Christinaliang/NiChord

Christinaliang/nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Christinaliang/PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development and model validation

Christinaliang/pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Christinaliang/PRML

PRML algorithms implemented in Python

Christinaliang/pumpkin-book

《机器学习》（西瓜书）公式详解

Christinaliang/pyspark-examples

Pyspark RDD, DataFrame and Dataset Examples in Python language

Christinaliang/RSA-CVPR19-release

code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"

Christinaliang/taskonomy

Taskonomy: Disentangling Task Transfer Learning

Christinaliang/TFF

an end to end framework for analyzing fMRI time-series data (4D) using transformers

Christinaliang/vision_transformer

Christinaliang/VQ-Diffusion

Official implementation of VQ-Diffusion

Christinaliang/workbench

Connectome Workbench

Christinaliang/xMPVA