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baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

benchmark_results

visual tracker benchmark results

betago

BetaGo: AlphaGo for the masses, live on github.

bias-eliminate-da-reid

Our solution to Domain Adaptive Pedestrian Re-identification in VisDA2020

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bytetrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

c-tran

General Multi-label Image Classification with Transformers

captionmetrics

Image Caption metrics: Bleu、Cider、Meteor、Rouge、Spice

causal-ai

do(Y) collects papers for tracking progress in Causal Machine Learning and Reasoning

centernet-pytorch

这是一个centernet-pytorch的源码，可以用于训练自己的模型。

centernetperson

CenterNet used for pedestrian detection

chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chatpdf-minimal-demo

chinese-vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

cifar-10-batches-py

cityflow-nl

Challenge Track 5 in 2021 AI City Challenge. (Baseline Model)

ck-tensorflow

use TensorFlow and Two stream CNN train and test the CK+ dataset

classification-pytorch

这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

conference-acceptance-rate

Acceptance rates for the major AI conferences

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

contrastboundary

Contrastive Boundary Learning for Point Cloud Segmentation

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cosface

Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition

cream

This is a collection of our NAS and Vision Transformer work.

cs420-final-project

tensorflow/ MLP/ RNN (LSTM, BiRNN) / CNN (LeNet-5, AlexNet, VGG, DenseNet)

curriculum_learning

Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)