Pinned Repositories
4dvarnet-core
Core implementation of the 4DVarNet architecture
4dvarnet-james-uv-ssc
Ocean current retrieval
ACR-Loss
ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
AdaFace
AdaptiveWingLoss
[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation
AFS
This repository contains inference script for Face Swapping as A Simple Arithmetic Operation
AgileRL
Streamlining reinforcement learning with RLOps
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
alpha
stock price prediction
alphagen
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
Mr-Nobody-dey's Repositories
Mr-Nobody-dey/arcface
Mr-Nobody-dey/Awesome_Imputation
Awesome Time-Series Imputation Papers, including a must-read paper list about using deep learning neural networks to impute incomplete time series containing NaN missing values/data
Mr-Nobody-dey/BIRD
This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"
Mr-Nobody-dey/CoastSat
Global shoreline mapping tool from satellite imagery
Mr-Nobody-dey/CSCS
[ACM TOG, 2024] Identity-Preserving Face Swapping via Dual Surrogate Generative Models
Mr-Nobody-dey/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Mr-Nobody-dey/DI-engine
OpenDILab Decision AI Engine
Mr-Nobody-dey/DINEOF
Data Interpolating Empirical Orthogonal Functions
Mr-Nobody-dey/facefusion-assets
Next generation face swapper and enhancer
Mr-Nobody-dey/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Mr-Nobody-dey/flux
Official inference repo for FLUX.1 models
Mr-Nobody-dey/instaloader
Download pictures (or videos) along with their captions and other metadata from Instagram.
Mr-Nobody-dey/message-passing-for-da
A JAX message passing algorithm aimed at data assimilation
Mr-Nobody-dey/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Mr-Nobody-dey/neural-lam
Neural Weather Prediction for Limited Area Modeling
Mr-Nobody-dey/neuraloperator
Learning in infinite dimension with neural operators.
Mr-Nobody-dey/onnx2torch
Convert ONNX models to PyTorch.
Mr-Nobody-dey/OpenVoice
Instant voice cloning by MyShell.
Mr-Nobody-dey/Optimal-sequential-stock-trading-strategy-with-DDPG
Implementation of a deep reinforcement learning algorithm to determine the optimal strategy for trading in stock exchanges on the example of companies included in the S&P500 index
Mr-Nobody-dey/PINA
Physics-Informed Neural networks for Advanced modeling
Mr-Nobody-dey/PrimerTools
Primer YouTube
Mr-Nobody-dey/PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
Mr-Nobody-dey/pytorch_geometric
Graph Neural Network Library for PyTorch
Mr-Nobody-dey/Reinforcement-Learning-for-Stock-Market-Trading-A-Case-Study-on-Nvidia-Stock
This project applies a Q-learning agent to develop a trading strategy that maximizes profit through stock trading. The environment is based on historical stock prices of Nvidia over the past two years, containing 504 entries from 02/01/2021 to 01/31/2023.
Mr-Nobody-dey/reinforcement_stock
Stock trading with Reinforcement Learning
Mr-Nobody-dey/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Mr-Nobody-dey/sbx
SBX: Stable Baselines Jax (SB3 + Jax)
Mr-Nobody-dey/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Mr-Nobody-dey/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Mr-Nobody-dey/VENI-VINDy-VICI
An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification