SangeonPark

SangeonPark's Stars

• neurreps/awesome-neural-geometry

  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

  87357

• amirabbasasadi/MathematiciansGraph

  Exploring the graph of mathematicians

  Language:Jupyter Notebook52

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda15.6k1.9k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.5k906

• openai/finetune-transformer-lm

  Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

  Language:Python2.1k499

• tunib-ai/oslo

  OSLO: Open Source framework for Large-scale model Optimization

  Language:Python30430

• kilianFatras/awesome-optimal-transport

  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.

  19426

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python130k25.7k

• tunib-ai/transformers

  🚀 Implementation of easy-to-use 3D parallelism based on Huggingface Transformers & Microsoft DeepSpeed

  Language:Python312

• faif/python-patterns

  A collection of design patterns/idioms in Python

  Language:Python39.9k6.9k

• geyang/deep_learning_notes

  a collection of my notes on deep learning

  Language:Jupyter Notebook12454

• salesforce/ctrl

  Conditional Transformer Language Model for Controllable Generation

  Language:Python1.9k208

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k337

• kakaobrain/pororo

  PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

  Language:Python1.3k224

• ottermegazord/mit6867

  6.867 Machine Learning

  Language:Python3012

• johannbrehmer/manifold-flow

  Manifold-learning flows (ℳ-flows)

  Language:Jupyter Notebook22725

• gradhep/neos

  Upstream optimisation for downstream inference

  Language:Jupyter Notebook675

• cmantill/TagProbeSF

  tag and probe

  Language:C13

• jlevy/the-art-of-command-line

  Master the command line, in one page

  151k14.4k

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  329k60.8k

• krzjoa/awesome-python-data-science

  Probably the best curated list of data science software in Python.

  2.4k334

• Kyubyong/numpy_exercises

  Numpy exercises.

  Language:Python1.7k588

• SebastianMacaluso/Deep-learning_jet-images

  Deep learning and computer vision techniques to identify jet substructure from proton-proton collisions at the Large Hadron Collider

  Language:Python52

• dwmkerr/hacker-laws

  💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws

  Language:Shell25.7k1.5k

• alexmorley/every-data-scientist-should-know

  A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio

  9515

• 97-things/97-things-every-programmer-should-know

  Pearls of wisdom for programmers collected from leading practitioners.

  2.9k427

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  77.9k7.4k

• Xilinx/FPGA_as_a_Service

  Language:Go14460

• ksung25/BaconAna

  Language:C++218

• taolicheng/jet-physics-notes

  Knowledge Base for Jet Physics at the LHC

  Language:JavaScript11