JLDC

JLDC'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.

  Language:Python168k1.5k2.8k44.4k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16k372201.9k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.1k1134081.4k

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15k2622132.6k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k343312.3k

• 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.

  Language:Python12.7k133218863

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.2k5952420

• alexlenail/NN-SVG

  Publication-ready NN-architecture schematics.

  Language:JavaScript5.1k7042678

• lucidrains/vector-quantize-pytorch

  Vector (and Scalar) Quantization, in Pytorch

  Language:Python2.6k32129211

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k817523

• JuliaAI/MLJ.jl

  A Julia machine learning framework

  Language:Julia1.8k48634157

• dair-ai/Transformers-Recipe

  🧠 A study guide to learn about Transformers

  1.5k311145

• probml/dynamax

  State Space Models library in JAX

  Language:Python6942719081

• mikonvergence/DiffusionFastForward

  DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

  Language:Jupyter Notebook6019854

• chengchingwen/Transformers.jl

  Julia Implementation of Transformer models

  Language:Julia526169675

• LuxDL/Lux.jl

  Elegant and Performant Scientific Machine Learning in Julia

  Language:Julia507824763

• plotly/Dash.jl

  Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.

  Language:Julia4891712441

• JaxGaussianProcesses/GPJax

  Gaussian processes in JAX.

  Language:Python460317453

• dmlc/XGBoost.jl

  XGBoost Julia Package

  Language:Julia28926110110

• SciML/ReservoirComputing.jl

  Reservoir computing utilities for scientific machine learning (SciML)

  Language:Julia209144638

• baggepinnen/Hyperopt.jl

  Hyperparameter optimization in Julia.

  Language:Julia2007020

• jonbarron/tabilize

  Simple code for generating a color-coded latex table from raw data

  Language:Jupyter Notebook158505

• dseconf/DSE2023

  Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

  Language:Jupyter Notebook14311059

• dfdx/Avalon.jl

  Starter kit for legendary models

  Language:Julia105552

• sischei/DeepEquilibriumNets

  Language:Jupyter Notebook896034

• OpenSourceEcon/CompMethods

  "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

  Language:Python831012

• cassidylaidlaw/effective-horizon

  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"

  Language:Python42336

• JeppeDruedahl/Lectures_IIES

  Language:Jupyter Notebook36309

• mackelab/mnle-for-ddms

  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)

  Language:Jupyter Notebook17446