livreQ's Stars
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
meta-llama/llama3
The official Meta Llama 3 GitHub site
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
imarvinle/awesome-cs-books
🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
optuna/optuna
A hyperparameter optimization framework
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
jiesutd/NCRFpp
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
atfortes/Awesome-LLM-Reasoning
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
pyscf/pyscf
Python module for quantum chemistry
Tebmer/Awesome-Knowledge-Distillation-of-LLMs
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
RLHFlow/Online-RLHF
A recipe for online RLHF.
GT4SD/gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
leojklarner/gauche
A Library for Gaussian Processes in Chemistry
recursionpharma/gflownet
GFlowNet library specialized for graph & molecular data
layer6ai-labs/dgm-eval
Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
naszilla/tabzilla
georgosgeorgos/few-shot-diffusion-models
Few-Shot Diffusion Models
p-lambda/incontext-learning
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
ur-whitelab/BO-LIFT
BayesOpt + LIFT
HelloJocelynLu/t5chem
Transformer-based model for chemical reactions
TheAnig/NER-LSTM-CNN-Pytorch
End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial
b-shields/EvML
Benchmarking human and machine learning performance.
cswangjiawei/pytorch-NER
This is the implemention of named entity recognition model
DaertML/context_distillation
Framework to achieve context distillation in LLMs
alexwolson/explainable-ai
livreQ/meta-sgld