- 스캐폴딩(Scaffolding) (Tue 01.21)
- Huggingface cache_rm-rf (Mon 01.20)
- LoRA(Low-Rank Adaptation)_rank, alpha(scaling), q v_proj (Sat 01.18)
- Proj - LLM sum, emo recog, chat task_Token param_Categorical val - one-hot encode (Fri 01.17)
- Journal - Line Attractor encoding an affective state (Thu 01.16)
- PyTorch 텍스트 생성 모델의 Padding 처리와 -100 masking (Wed 01.15)
- NLP contest 시작_ Pandas, random, sort_values, dict map_SSH Jupyter (Wed 01.15)
- CV Basic 3, 4강 - Backbone, decoder, CNN, ResNet, EfficientNet (Tue 01.14)
- Recommendation System, Time-series analysis, Model 평가 및 개선 (Mon 01.13)
- 특강-Overview of LLM (Mon 01.13)
- SVD Rank, Correlation_Scaling (Standarization - mu, Normalization - min max)_Latex_기업 설명회 (Fri 01.10)
- Project Emotion(ISP), NLP 추가 구현. ML Basic 복습 - High-Low level 개념, Regression, Classification 실습, Python 삼중 따옴표 사용 (Thu 01.09)
- Project Emotion - NLP, BART seq max 1024, import warnings, seed (Wed 01.08)
- ROUGE 및 NLP 평가 메트릭 개요 (Wed 01.08)
- Project NLP - dialouge summarization template 디자인 구현 (Tue 01.07)
- 특강 - 이력서 (Tue 01.07)
- Template 코드 작성_Quantization, Torch dtype bfloat16, Powershell Conda 이슈 (Mon 01.06)
- Hydra multi-config, Wandb logging - step, epoch (Sun 01.05)
- Model Hyperparameters-Train, Optim, Regul, Model, Data (Sat 01.04)
- Project template 에서 src 및 main entry point 위치, Linux GPU monitoring, Conda 추천 (Fri 01.03)
- init import 용법 (Thu 01.02)
- CV Contest - 발표 피드백 및 개선 방향 from 송원호 멘토 (Thu 01.02)
- Wandb (Wed 01.01)
- Mentoring - ML loss lr, OCR, On-off-line augmentation (Tue 12.31)
- Data leakage - Augmentation 이슈 (Mon 12.30)
- Path_resolve_Tensor_detach (Sun 12.29)
- Class_imbalance_Focal_Weighted_Precsion_Recall (Sat 12.28)
- Linux_tar (Fri 12.27)
- Focal_loss_Class_weight (Thu 12.26)
- Precision 개선 (Wed 12.25)
- TTA_TTAd (Tue 12.24)
- Domain_adaptation_TTA (Mon 12.23)
- Data Ensemble k-fold (Sat 12.21)
- Aug_Color-jitter (Fri 12.20)
- 전이 학습(Transfer Learning), 파인튜닝(Fine-Tuning), 도메인 적응(Domain Adaptation) (Wed 12.18)
- Hydra config 관리_wandb 전달 (Tue 12.17)
- Domain adaptation, Transfer learning (Mon 12.16)
- MLFlow DB - SQLite, Postgre (Sat 12.14)
- Bash vs Source, NVIDIA Driver, CUDA, CUDNN (Fri 12.13)
- Docker (Thu 12.12)
- Typehinting_literal (Wed 12.11)
- 동적 메소드 getattr (Tue 12.10)
- CICD_Workflow_management (Mon 12.09)
- Linux_windows_NVIDIA_torch_setup (Sun 12.08)
- Markdown_image_embed_Convention_LLM_mermaid (Sat 12.07)
- MLflow Tracking server, Artifact store 연동 이슈 (Fri 12.06)
- Linux_Logger_google_doc (Thu 12.05)
- EC2_Docker_Architecture (Wed 12.04)
- Numpy, Pandas, Visualization, Sklearn (Wed 11.27)
- Hyperparam_search_objective_metric (Tue 11.26)
- MLOps_II_S3_Crawling (Sat 11.23)
- Docker_access_Compose (Fri 11.22)
- Airflow_Docker (Thu 11.21)
- kwargs (Wed 11.20)
- Mentoring - ML 실전, Feature variable, Docker_stop (Tue 11.19)
- Mentoring - MLOps, CICD, VS_code_short_cut (Mon 11.18)
- Preprocessing (Sun 11.17)
- ML_pipeline (Sat 11.16)
- 멘토링 피드백_ML pipeline,실험 설계, 협업 및 회고_Validation (Fri 11.15)
- 피드백 - Contest 1 House_price_prediction (Thu 11.14)
- 멘토링 - Model_select_metric_Data_prep (Wed 11.13)
- Feature_selection (Tue 11.12)
- 멘토링 - 연속, 범주형 변수 선택 기준, Train Test 데이터 전처리 분할 (다른조) (Mon 11.11)
- Pandas 결측치 확인 info, isna - isnull, 처리 fillna, dropna (Fri 11.08)
- Cursor IDE - Chat vs Composer, cursorrules (Thu 11.07)
- Dataset_split (Wed 11.06)
- Ensemble (Tue 11.05)
- Variable_continuous_categorical (Mon 11.04)
- ML_data_Manual (Fri 11.01)
- ML_process_basic (Thu 10.31)
- ML_model_data (Wed 10.30)
- Boosting vs Bagging (Tue 10.29)
- Latex 분수 표현, Path as_posix() 경로 구분자 통일 (Mon 10.28)