jroberayalas's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
facebookresearch/fastText
Library for fast text representation and classification.
karpathy/llm.c
LLM training in simple, raw C/CUDA
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
allenai/allennlp
An open-source NLP research library, built on PyTorch.
Hvass-Labs/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
aikorea/awesome-rl
Reinforcement learning resources curated
norvig/paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
KaimingHe/deep-residual-networks
Deep Residual Learning for Image Recognition
christophM/interpretable-ml-book
Book about interpretable machine learning
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Chakazul/Lenia
Lenia - Mathematical Life Forms
maciejkula/spotlight
Deep recommender models using PyTorch.
rasbt/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Machine-Learning-Tokyo/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Mybridge/machine-learning-open-source
Monthly Series - Machine Learning Top 10 Open Source Projects
Machine-Learning-Tokyo/DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
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
fcampelo/EC-Bestiary
A bestiary of evolutionary, swarm and other metaphor-based algorithms
greta-dev/greta
simple and scalable statistical modelling in R
ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
The bookdown version lives here: https://bookdown.org/content/3890
guolinke/TUPE
Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.
mlberkeley/intro-dl-workshop
Code for the Introduction to Deep Learning Workshop - Spring 2018
pat-s/learnr-list
A list containing useful resources related to learnr
floydhub/gym-retro-template
One-click setup for OpenAI Gym Retro on FloydHub