Program Synthesis
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- 보존된 평가 기록
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Program synthesis is the process of automatically generating a program or code snippet that satisfies a given specification or set of requirements. This can include generating code from a formal specification, a natural language description, or example inputs and outputs. The primary goal of program synthesis is to minimize human intervention in the coding process, reduce errors, and improve productivity.
Program synthesis often involves the use of advanced algorithms, artificial intelligence, and machine learning techniques to search the space of possible programs that meet the given constraints. This process can be guided by a variety of techniques, such as constraint solving, symbolic execution, and genetic algorithms.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/clvrai/leaps
Learning to Synthesize Programs as Interpretable and Generalizable Policies
https://github.com/cmunnis/BERT_vs_Transformer-XL
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/coco60/bert-test
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/codertimo/BERT-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/coinse/arachne
https://github.com/common-english/bert-all
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/corl-team/CORL
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
https://github.com/coronazap/bert_client
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cospplay/bert-master
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/crx934080895/Bert-CRF_New2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cuber2460/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cybertronai/megatron-lm
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/danlim-wz/analysis_of_social_media_data_about_singapore
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darr/nerbert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darr/nlp_work
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/davidbellamy/labrador
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/davidsvaughn/dts-tf
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dbmdz/historic-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/debnsuma/AmazonSageMaker101
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/debnsuma/Intro-Transformer-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepmind/xquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepmipt/Slavic-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepmipt/bert/tree/feat/multi_gpu
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepset-ai/FARM
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepsoftwareanalytics/omnigirl
https://github.com/deping-1/2019-false-news-detection-challenge
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/derronxu/sparsebert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/devJWSong/bert-crf-entity-recognition-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/devhemza/BERTweet_sentiment_analysis
https://github.com/dhlee347/pytorchic-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/diabhaque/Sixth-Sense
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dig-team/hanna-benchmark-asg
https://github.com/digirl-agent/digiq
https://github.com/digirl-agent/digirl
https://github.com/dispink/xpt
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.