Alternatives and similar repositories for ML-Interview

Users that are interested in ML-Interview are comparing it to the libraries listed below

• princeton-nlp / PTP
  Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
  ☆29Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated 10 months ago
• ltzheng / SimpleTIR
  End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
  ☆135Updated this week
• BytedTsinghua-SIA / Enigmata
  Resources for the Enigmata Project.
  ☆53Updated last month
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆47Updated last year
• RenzeLou / AAAR-1.0
  The source code for running LLMs on the AAAR-1.0 benchmark.
  ☆16Updated 3 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆86Updated 9 months ago
• general-preference / general-preference-model
  Official implementation of ICML 2025 paper "Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment" (https:…
  ☆25Updated 2 months ago
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆54Updated last year
• dqxiu / KAssess
  ☆14Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 10 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated last month
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆92Updated 2 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆59Updated 2 weeks ago
• starrYYxuan / UniTE
  ☆13Updated 8 months ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆75Updated 2 years ago
• dvlab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆50Updated 8 months ago
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆27Updated 7 months ago
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 8 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆105Updated 2 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆79Updated last month
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆45Updated 11 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆27Updated 9 months ago
• mandyyyyii / scibench
  ☆123Updated last year
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆72Updated 8 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• sail-sg / symbolic-instruction-tuning
  The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".
  ☆65Updated 2 years ago