IanChar's Stars
IanChar/GPIDE
Code for the paper "PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks"
IanChar/dynamics-toolbox
A Library for easily training and using dynamics models.
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
ur-whitelab/chemcrow-public
Chemcrow
evo-design/evo
DNA foundation modeling from molecular to genome scale
mir-group/nequip
NequIP is a code for building E(3)-equivariant interatomic potentials
leojklarner/gauche
A Library for Gaussian Processes in Chemistry
cambridge-mlg/convcnp
Implementation of the Convolutional Conditional Neural Process
wesselb/neuralprocesses
A framework for composing Neural Processes in Python
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
instadeepai/nucleotide-transformer
🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
egonos/Introduction-to-Machine-Learning-Interviews-Book-Solutions
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
yangkky/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
huawei-noah/HEBO
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
aimhubio/aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
luckeciano/transformers-metarl
Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
nessapotamia/planets
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
micahcarroll/uniMASK
Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
oist-cnru/Variational-Recurrent-Models
Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICLR 2020 (https://openreview.net/forum?id=r1lL4a4tDB)
maximilianigl/DVRL
Deep Variational Reinforcement Learning
willieneis/neatplot
Plotting utilities for Python
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
AIgen/df-posthoc-calibration
Model-agnostic posthoc calibration without distributional assumptions
albertometelli/wql