Anirudh257 / awesome-opensource-ML-collaborationsLinks
List of online discord servers for ML collaborations.
☆36Updated last year
Alternatives and similar repositories for awesome-opensource-ML-collaborations
Users that are interested in awesome-opensource-ML-collaborations are comparing it to the libraries listed below
Sorting:
- ☆29Updated last year
- ☆68Updated last year
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 7 months ago
- A curated resources on what's happening in multimodal learning. Features recent papers, books, related lectures, and other relevant resou…☆16Updated 2 years ago
- Material for the series of seminars on Large Language Models☆34Updated last year
- RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems☆141Updated 11 months ago
- Basic guidance on how to contribute to Papers with Code☆24Updated 3 years ago
- Building GPT ...☆18Updated last year
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆83Updated last year
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆54Updated 2 years ago
- ☆52Updated last year
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆171Updated 3 years ago
- Notes from the Latent Space paper club. Follow along or start your own!☆241Updated last year
- Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.☆31Updated 8 months ago
- List of AI Residency & Research programs, Ph.D Fellowships, Research Internships☆163Updated 5 years ago
- A puzzle to learn about prompting☆135Updated 2 years ago
- Fine-tune an LLM to perform batch inference and online serving.☆115Updated 6 months ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆120Updated 4 months ago
- Deep Learning for Computer Vision☆60Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Slides, notes, and materials for the workshop☆336Updated last year
- Notebooks for fine tuning pali gemma☆117Updated 8 months ago
- Course Materials for Interpretability of Large Language Models (0368.4264) at Tel Aviv University☆268Updated this week
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- ML/DL Math and Method notes☆65Updated 2 years ago
- ☆45Updated 7 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆72Updated this week
- 🧠 Starter templates for doing interpretability research☆74Updated 2 years ago