jroberayalas

jroberayalas's Stars

• huggingface/transformers

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

  Language:Python132k1.1k15.6k26.2k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook42.7k1.8k19217.8k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37k1.2k715.9k

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML25.8k8461.1k4.7k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.2k2271322.6k

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook22.6k771362.4k

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.7k2802.6k2.2k

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k5441104.2k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2752243.1k

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k442121.8k

• norvig/paip-lisp

  Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"

  Language:Common Lisp7.1k23751700

• KaimingHe/deep-residual-networks

  Deep Residual Learning for Image Recognition

  6.4k301702.2k

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.7k1382021.1k

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k9474874

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k134741.2k

• Chakazul/Lenia

  Lenia - Mathematical Life Forms

  Language:Python3.5k9115219

• maciejkula/spotlight

  Deep recommender models using PyTorch.

  Language:Python3k106110421

• rasbt/deep-learning-book

  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

  Language:Jupyter Notebook2.8k2088751

• Machine-Learning-Tokyo/Interactive_Tools

  Interactive Tools for Machine Learning, Deep Learning and Math

  2.6k851303

• paul-buerkner/brms

  brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

  Language:R1.3k461.5k182

• Mybridge/machine-learning-open-source

  Monthly Series - Machine Learning Top 10 Open Source Projects

  9745290131

• Machine-Learning-Tokyo/DL-workshop-series

  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

  Language:Jupyter Notebook936674253

• snowkylin/TensorFlow-cn

  简单粗暴 TensorFlow (1.X) | A Concise Handbook of TensorFlow (1.X) | 此版本不再更新，新版见 https://tf.wiki

  Language:Python852467145

• fcampelo/EC-Bestiary

  A bestiary of evolutionary, swarm and other metaphor-based algorithms

  Language:TeX5923816964

• greta-dev/greta

  simple and scalable statistical modelling in R

  Language:C++5262646863

• ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse

  The bookdown version lives here: https://bookdown.org/content/3890

  Language:HTML392284191

• guolinke/TUPE

  Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

  Language:Python24961926

• mlberkeley/intro-dl-workshop

  Code for the Introduction to Deep Learning Workshop - Spring 2018

  Language:Jupyter Notebook111506

• pat-s/learnr-list

  A list containing useful resources related to learnr

  10501

• floydhub/gym-retro-template

  One-click setup for OpenAI Gym Retro on FloydHub

  Language:Jupyter Notebook9504