kycai's Stars
langgenius/dify
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
svc-develop-team/so-vits-svc
SoftVC VITS Singing Voice Conversion
pycaret/pycaret
An open-source, low-code machine learning library in Python
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
NVIDIA/Cosmos
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
OpenGVLab/InternVL
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
google-deepmind/graphcast
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
google-deepmind/optax
Optax is a gradient processing and optimization library for JAX.
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
imageio/imageio
Python library for reading and writing image data
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
allenai/s2orc
S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/
AkariAsai/OpenScholar
This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
7ossam81/EvoloPy
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
mrkllntschpp/lammps-tutorials
LAMMPS tutorials for Beginners
aai-institute/beyond-jupyter
Software design principles for machine learning applications
sedaoturak/data-resources-for-materials-science
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
janosh/matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Alpha-Innovator/DocGenome
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Models
Bin-Cao/Bgolearn
[Materials & Design 2024] A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning
jwzhanggy/tinyBIG
tinybig for deep function learning
jkitchin/litdb
A literature database
cc-ats/mlp_tutorial
zmykevin/ChartOCR