Program Synthesis
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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/dkamm/deepcoder
https://github.com/dmlc/gluon-nlp
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dreamgonfly/BERT-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/duanchi1230/NLP_Project_AI2_Reasoning_Challenge
https://github.com/duyunshu/bert-sentiment-analysis
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dzqjorking/transpose
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/eagle705/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/eaishwa/quora-ques-pair-similarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/elenalenaelena/machine-learning-viz
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ellisk42/ec
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
https://github.com/ellisk42/lambdabeam
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
https://github.com/enod/arxiv-nlp-notes
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/epcpu/deep-nlp-links
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/epfml/collaborative-attention
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/eternityyw/tram-benchmark
https://github.com/eth-sri/TFix
https://github.com/ethancaballero/neural-engineers-first-attempt
https://github.com/eunseo1092/Graduation_project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/evtaktasheva/dependency_extraction
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/experepair/experepair
Agentless: Demystifying LLM-based Software Engineering Agents
https://github.com/expertailab/spaceqa
https://github.com/fabiocorreacordeiro/Elsevier_abstracts-Classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/facebookresearch/anli
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/faizansuhail89/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/fanchenyou/transformer-study
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/fancyerii/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/fciannel/bert_fciannel
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/few-shot-NER-benchmark/BaselineCode
https://github.com/flexible-fl/flex-nlp
https://github.com/flxst/nerblackbox
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/flyliu2017/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/flyliu2017/bert_modularized
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/frankcgq105/BERTCHEN
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/g-eklund/bert_tutorial
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.