AntoineTheb

SAM-Med3D

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

FastSAM3D

Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"

copilot.vim

Neovim plugin for GitHub Copilot

SelfMedMAE

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

CrossQ-Pytorch

CrossQ implementation in Pytorch

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

KUL_FWT

Automated tractography using MRTrix3 CSD based on subject-specific parcellations from FreeSurfer and MultiScaleBrainParcellator

XTRACT_atlases

WM tract atlases for the human (HCP and UK Biobank) and Macaque brain and connectivity blueprint atlases for the human (HCP) and macaque brain.

llm.c

LLM training in simple, raw C/CUDA

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

CfC

Closed-form Continuous-time Neural Networks

clean-rl-mlx

Clean RL implementation using MLX

niicat

This is a tool to quickly preview nifti images on the terminal

phybers

Config files for my GitHub profile.

mrtrix3

MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

PRML-Solution-Manual

My Own Solution Manual of PRML

quactography

manim

Animation engine for explanatory math videos

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

torch-harmonics

Differentiable spherical harmonic transforms and spherical convolutions in PyTorch

AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

EfficientZero

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Recurrent-Deep-Q-Learning

Solving POMDP using Recurrent networks

DRLearner_beta

Open Source Deep Reinforcement Learning, based on Agent 57 (Badia et al, 2020)

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

Minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities