BIGKnight

BIGKnight's Stars

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.3k2162403k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.7k1103811.3k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.7k1015081.1k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8k33292999

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python3.9k3638350

• Luodian/Otter

  🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

  Language:Python3.6k100160242

• google/prompt-to-prompt

  Language:Jupyter Notebook3.1k2581284

• LLaVA-VL/LLaVA-NeXT

  Language:Python2.5k32234184

• tum-pbs/PhiFlow

  A differentiable PDE solving framework for machine learning

  Language:Python1.4k2681192

• EvolvingLMMs-Lab/lmms-eval

  Accelerating the development of large multimodal models (LMMs) with lmms-eval

  Language:Python1.4k4148109

• SakanaAI/evolutionary-model-merge

  Official repository of Evolutionary Optimization of Model Merging Recipes

  Language:Python1.2k401186

• SciML/NeuralPDE.jl

  Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

  Language:Julia97037338195

• GistNoesis/FourierKAN

  Language:Python6857757

• trotsky1997/MathBlackBox

  Language:Python4929659

• bfshi/scaling_on_scales

  When do we not need larger vision models?

  Language:Python3207149

• i207M/PINNacle

  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

  Language:Python2194937

• Ledzy/BAdam

  Language:Python19241112

• danlou/LMMS

  Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

  Language:Python945421

• kilianFatras/variance_reduced_neural_networks

  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.

  Language:Jupyter Notebook684220

• jedrazb/python-tsp-simulated-annealing

  Visualisation of Simulated Annealing algorithm to solve TSP

  Language:Python575129

• AmeyaJagtap/Conservative_PINNs

  We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

  Language:Python553219

• LuChengTHU/mle_score_ode

  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)

  Language:Python52404

• nathanhu0/CaMeLS

  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.

  Language:Python23524

• gilbertfrancois/partial-differential-equations

  Notes and examples on how to solve partial differential equations with numerical methods, using Python.

  Language:Jupyter Notebook21104

• BIGKnight/Understanding-Training-free-Diffusion-Guidance

  Language:Python9202

• caesarcai/ZORO

  Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling

  Language:Python9215

• speed1313/jaxkan

  JAX implementation of Kolmogorov Arnold Networks (KANs).

  Language:Python90

• HaoZhongkai/Bi-level-PINN

  Language:Jupyter Notebook7100

• lindonroberts/inexact_dfo_bilevel_learning

  Inexact Derivative-Free Optimization for Bilevel Learning

  Language:Python2201

• shib0li/Adjoint-MAML

  Repository of Meta-Learning with Adjoint Methods

  Language:Python2100