lehy's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
sharkdp/hyperfine
A command-line benchmarking tool
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
BlinkDL/RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
PaddlePaddle/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
clovaai/donut
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
indygreg/PyOxidizer
A modern Python application packaging and distribution tool
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Layout-Parser/layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
microsoft/lida
Automatic Generation of Visualizations and Infographics using Large Language Models
baaivision/EVA
EVA Series: Visual Representation Fantasies from BAAI
IDEA-Research/T-Rex
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
microsoft/BlingFire
A lightning fast Finite State machine and REgular expression manipulation library.
LIAAD/yake
Single-document unsupervised keyword extraction
Flet/rejected-github-profile-achievements
😵 GitHub achievements that did not make the cut.
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
sail-sg/volo
VOLO: Vision Outlooker for Visual Recognition
InseeFrLab/onyxia
🔬 Data science environment for k8s
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
unixpickle/sk2torch
Convert scikit-learn models to PyTorch modules
dsdanielpark/open-llm-leaderboard-report
Weekly visualization report of Open LLM model performance based on 4 metrics.
ocaml-gospel/cameleer
A Deductive Verification Tool for OCaml Programs
jjlee/rescript-mode
A major mode for editing ReScript
IBM/sib
Implementation of sequential Information Bottleneck (sIB) in Python and in C++