fan1dy
The first principle is that you must not fool yourself and you are the easiest person to fool.
fan1dy's Stars
zyushun/hessian-spectrum
Code for the paper: Why Transformers Need Adam: A Hessian Perspective
RayeRen/acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
nik-dim/tall_masks
Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
Varal7/conformal-language-modeling
Conformal Language Modeling
EgoAlpha/prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
InternLM/xtuner
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
meta-llama/llama
Inference code for Llama models
pjlab-sys4nlp/llama-moe
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training
huggingface/datatrove
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
daattali/beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
EricLBuehler/xlora
X-LoRA: Mixture of LoRA Experts
hiyouga/LLaMA-Factory
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
JayZhang42/FederatedGPT-Shepherd
Shepherd: A foundational framework enabling federated instruction tuning for large language models
mlfoundations/model-soups
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
uclaml/SPIN
The official implementation of Self-Play Fine-Tuning (SPIN)
thomasgauthier/LLM-self-play
Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)
lucidrains/self-rewarding-lm-pytorch
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
databricks/megablocks
WeiHongLee/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
epfml/getting-started
mistralai/mistral-inference
Official inference library for Mistral models
LSIR/DIS
CS-423 Distributed Information Systems
vis-opt-group/BLO
Bi-level Optimization for Advanced Deep Learning
mistralai/megablocks-public
XueFuzhao/OpenMoE
A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
TheImpressiveDonut/personalized-collaboration-learning
Code-implementation for exploration of peronalized collaborative methods
danielgrittner/nanoGPT-LoRA
The simplest, fastest repository for training/finetuning medium-sized GPTs with LoRA support.
erosenfeld/disagree_discrep
Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.