FerranAlet's Stars
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
chrisgrimm/muzero
google-deepmind/clrs
hushon/JAX-ResNet-CIFAR10
Simple CIFAR10 ResNet example with JAX.
synercys/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
KarelPeeters/kZero
A from-scratch general AlphaZero implementation for board games
bhansconnect/fast-alphazero-general
A clean implementation based on Expert Iterations for any game, inspired by alpha-zero-general
YeWR/EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
dylandoblar/noether-networks
Meta-learning inductive biases in the form of useful conserved quantities.
google-research/sam
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
javierlcontreras/ProgRES
google-deepmind/alphafold
Open source code for AlphaFold.
google/jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
mchalupa/dg
[LLVM Static Slicer] Various program analyses, construction of dependence graphs and program slicing of LLVM bitcode.
liuml07/giri
Dynamic Program Slicing in LLVM Compiler
kth-competitive-programming/kactl
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
google-deepmind/dm-haiku
JAX-based neural network library
google-deepmind/dm_alchemy
DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
OrthoDex/PCGrad-PyTorch
PyTorch implementation for "Gradient Surgery for Multi-Task Learning" https://arxiv.org/abs/2001.06782
rfeinman/GNS-Modeling
Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
harvardnlp/compound-pcfg
flennerhag/warpgrad
Meta-Learning with Warped Gradient Descent
RuntianZ/macer
MACER: MAximizing CErtified Radius (ICLR 2020)
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
locuslab/smoothing
Provable adversarial robustness at ImageNet scale