Alternatives and similar repositories for me

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

• frankaging / awesome-ai-research-intern-list
  List of AI Internships
  ☆122Updated last year
• chinasatokolo / csGraduateApps
  A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).
  ☆186Updated 7 months ago
• chinasaokolo / csGraduateFellowships
  A curated list of fellowships for graduate students in Computer Science and related fields.
  ☆60Updated 5 months ago
• SouravDutta91 / AI-Residency-List
  List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
  ☆158Updated 4 years ago
• coallaoh / Principles
  ☆204Updated 7 months ago
• KaiserWhoLearns / CS-PhD-Application-fee-waivers
  Collections of CS PhD Application Fee Waivers of schools in North America
  ☆378Updated last year
• dtsip / in-context-learning
  ☆232Updated last year
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆121Updated last year
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆150Updated 2 years ago
• danielmamay / mlab
  Machine Learning for Alignment Bootcamp (MLAB).
  ☆30Updated 3 years ago
• centerforaisafety / Intro_to_ML_Safety
  ☆71Updated 2 years ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆18Updated 3 years ago
• eemlcommunity / PracticalSessions2023
  ☆65Updated last year
• chinasaokolo / csGraduateApps
  A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).
  ☆31Updated 5 months ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆328Updated last week
• tengyuma / cs229m_notes
  ☆229Updated 2 years ago
• eemlcommunity / PracticalSessions2024
  ☆80Updated 10 months ago
• rhubarbwu / linguistic-collapse
  Codebase for Linguistic Collapse: Neural Collapse in (Large) Language Models [NeurIPS 2024] [arXiv:2405.17767]
  ☆13Updated 2 months ago
• jedyang97 / awesome-cs-phd-application-advice
  A curated list of awesome advice for computer science Ph.D. applicants.
  ☆298Updated 3 years ago
• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆350Updated 2 years ago
• callummcdougall / ARENA_2.0
  Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
  ☆216Updated last year
• atakansite / nlp-courses
  Natural Language Processing Courses with Resources
  ☆36Updated 7 months ago
• locuslab / edge-of-stability
  ☆68Updated 6 months ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• ModelZoos / ModelZooDataset
  Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…
  ☆55Updated last year
• womanreading7 / PhD-Application-Guide
  ☆116Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆98Updated last month
• poloclub / awesome-grad-school
  🎓 Advice and resources for thriving and surviving graduate school
  ☆374Updated last week
• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆163Updated 7 months ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago