#javascript #natural_language_processing #nlp #reverse_dictionary #word

https://github.com/thunlp/WantWords

#python #ai #bert #dpr #elasticsearch #information_retrieval #language_model #machine_learning #natural_language_processing #neural_search #nlp #pytorch #question_answering #search_engine #semantic_search #squad #summarization #transfer_learning #transformers

https://github.com/deepset-ai/haystack

#other #ai #deep_learning #machine_learning #natural_language_processing

https://github.com/dair-ai/ML-Course-Notes

#jupyter_notebook #computer_vision #course #deep_learning #machine_learning #materials #natural_language_processing #python #pytorch #reinforcement_learning #seminars

https://github.com/girafe-ai/ml-course

#python #computer_vision #machine_learning #multimodal #natural_language_processing #pretrained_language_model #speech_processing #transformer #translation

https://github.com/microsoft/torchscale

#python #bert #deep_learning #language_model #language_models #machine_learning #natural_language_processing #nlp #pytorch #transformer

https://github.com/extreme-bert/extreme-bert

#jupyter_notebook #articles #artificial_intelligence #data_analysis #data_science #data_visualization #machine_learning #natural_language_processing #python #scraping #time_series

https://github.com/khuyentran1401/Data-science

#html #data_pipelines #deep_learning #document_ai #document_image_analysis #document_image_processing #document_parser #document_parsing #docx #donut #information_retrieval #langchain #machine_learning #ml #natural_language_processing #nlp #ocr #pdf #pdf_to_json #pdf_to_text #preprocessing

https://github.com/Unstructured-IO/unstructured

#python #deep_learning #flax #jax #language_model #large_language_models #natural_language_processing #transformer

https://github.com/young-geng/EasyLM

#python #chatgpt #clip #deep_learning #gpt #hacktoberfest #hnsw #information_retrieval #knn #large_language_models #machine_learning #machinelearning #multi_modal #natural_language_processing #search_engine #semantic_search #tensor_search #transformers #vector_search #vision_language #visual_search

https://github.com/marqo-ai/marqo

#python #active_learning #ai #annotation_tool #developer_tools #gpt_4 #human_in_the_loop #langchain #llm #machine_learning #mlops #natural_language_processing #nlp #rlhf #text_annotation #text_labeling #weak_supervision #weakly_supervised_learning

https://github.com/argilla-io/argilla

#jupyter_notebook #automated_machine_learning #automl #classification #data_science #deep_learning #finetuning #hyperparam #hyperparameter_optimization #jupyter_notebook #machine_learning #natural_language_generation #natural_language_processing #python #random_forest #regression #scikit_learn #tabular_data #timeseries_forecasting #tuning

https://github.com/microsoft/FLAML

#python #book #chinese #computer_vision #deep_learning #machine_learning #natural_language_processing #notebook #python

This resource, "Dive into Deep Learning," is a free online book that helps you learn deep learning by doing. It provides detailed concepts, background knowledge, and executable code to help you understand the mathematical principles and implement them in practice. The book includes runnable code examples so you can see how to solve problems step-by-step and experiment with different approaches. It also allows for community feedback and continuous updates to keep up with the rapidly evolving field of deep learning. This makes it an excellent resource for anyone looking to become a deep learning practitioner, whether you're a student or an industry professional.

https://github.com/d2l-ai/d2l-zh

#python #bert #deep_learning #flax #hacktoberfest #jax #language_model #language_models #machine_learning #model_hub #natural_language_processing #nlp #nlp_library #pretrained_models #python #pytorch #pytorch_transformers #seq2seq #speech_recognition #tensorflow #transformer

The Hugging Face Transformers library provides thousands of pretrained models for various tasks like text, image, and audio processing. These models can be used for tasks such as text classification, image detection, speech recognition, and more. The library supports popular deep learning frameworks like JAX, PyTorch, and TensorFlow, making it easy to switch between them.

The benefit to the user is that you can quickly download and use these pretrained models with just a few lines of code, saving time and computational resources. You can also fine-tune these models on your own datasets and share them with the community. Additionally, the library offers a simple `pipeline` API for immediate use on different inputs, making it user-friendly for both researchers and practitioners. This helps in reducing compute costs and carbon footprint while enabling high-performance results across various machine learning tasks.

https://github.com/huggingface/transformers