jxzhangjhu Goto Github PK

clip-caption-reward

PyTorch code for "Fine-grained Image Captioning with CLIP Reward" (Findings of NAACL 2022)

clip-interrogator

Image to prompt with BLIP and CLIP

clip-interrogator-ext

Stable Diffusion WebUI extension for CLIP Interrogator

clip_prefix_caption

Simple image captioning model

clover

Contour Location Via Entropy Reduction (NeurIPS 2018)

clustering_friendly_representation_learning

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

cog

[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

cola

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21

colossalai

Making large AI models cheaper, faster and more accessible

comparing_llm_blogpost

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

concept-based-demonstration-selection

Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.

conditional_diffusion_mnist

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

conffusion

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

confgf

Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

confidence-aware-learning

Confidence-Aware Learning for Deep Neural Networks (ICML2020)

confidence_gpt

Adding confidence scores to Chat-GPT's predictions to detect hallucinations

confidence_score

confidenceinterval

The long missing library for python confidence intervals

confidnet

Addressing Failure Prediction by Learning Model Confidence

conformal-learning

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

conformal-risk

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

confvae-icml21

consistency_models

Official repo for consistency models.

continuous-time-flow-process

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

contrastive-active-learning

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

contrastive_learning_papers

A list of contrastive Learning papers