josephdviviano's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
minimaxir/big-list-of-naughty-strings
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
open-guides/og-aws
📙 Amazon Web Services — a practical guide
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
terryum/awesome-deep-learning-papers
The most cited deep learning papers
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Experience-Monks/math-as-code
a cheat-sheet for mathematical notation in code form
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
altercation/vim-colors-solarized
precision colorscheme for the vim text editor
facebookresearch/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
xinario/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
hussius/deeplearning-biology
A list of deep learning implementations in biology
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
jrzaurin/pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
williamFalcon/DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
baal-org/baal
Bayesian active learning library for research and industrial usecases.
ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
deep-spin/entmax
The entmax mapping and its loss, a family of sparse softmax alternatives.
facebookresearch/noise-as-targets
Unsupervised Learning by Predicting Noise
kamenbliznashki/sutton_barto
Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction
wumo/Reinforcement-Learning-An-Introduction
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
atremblay/gym-cribbage
RL for the cribbage card game