Alternatives and similar repositories for dslectures

Users that are interested in dslectures are comparing it to the libraries listed below

• imohitmayank / a_lazy_data_science_guide
  A guide book on data science for busy and equally lazy Data Scientists 😄
  ☆131Updated last week
• PrithivirajDamodaran / ZSIC
  Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using…
  ☆49Updated 3 years ago
• huggingface / workshops
  Materials for workshops on the Hugging Face ecosystem
  ☆151Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆87Updated 2 years ago
• Sakil786 / -meta_llama_2finetuned_text_generation_summarization
  meta_llama_2finetuned_text_generation_summarization
  ☆21Updated last year
• ishandutta0098 / zero-to-lightning
  zero-to-lightning
  ☆29Updated last year
• rajlm10 / D2L-Torch
  Learning PyTorch through the D2L book. A series of notebooks for the same
  ☆27Updated 3 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆87Updated 2 years ago
• dipanjanS / low_code_machine_learning_pycaret_workshop_2022
  This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…
  ☆21Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• chuachinhon / gradio_nlp
  A series of notebooks demonstrating how to build simple NLP web apps with Gradio and Hugging Face transformers
  ☆45Updated 3 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆113Updated 3 years ago
• bhattbhavesh91 / language-translation-using-mBart-50
  Streamlit app to Translate text to or between 50 languages with mBART-50 from Huggingface and Facebook
  ☆25Updated 4 years ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆61Updated 10 months ago
• explodinggradients / notes
  Research notes and extra resources for all the work at explodinggradients.com
  ☆23Updated 4 months ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆52Updated 2 years ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆170Updated 2 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• siftly-ai / airdot-deployer
  Tool to take your ML model from local to production with one-line of code.
  ☆25Updated last year
• dair-ai / maven-pe-for-llms-4
  Prompt Engineering for Large Language Models - Notebooks, Demos, Exercises, and Projects
  ☆23Updated last year
• paperswithcode / tutorials
  Basic guidance on how to contribute to Papers with Code
  ☆23Updated 3 years ago
• ljvmiranda921 / prodigy-pdf-custom-recipe
  Custom recipe and utilities for document processing
  ☆199Updated 3 years ago
• lewtun / dslectures
  Course materials for introductory data science
  ☆62Updated 2 years ago
• vakyansh / gemma-experimentation
  Experimentation on google's gemma model
  ☆16Updated last year
• joydeb28 / NLP-Notebooks
  Natural Language Processing
  ☆28Updated last year
• TannerGilbert / Machine-Learning-Explained
  Learn the theory, math and code behind different machine learning algorithms and techniques.
  ☆73Updated 3 years ago